OnlyDataJobs.com

Freeport-McMoRan
  • Phoenix, AZ

Provide management and leadership to the Big Data project teams. Directs initiatives in the Freeport-McMoRan Big Data program. Provides analytical direction, expertise and support for the Big Data program; this includes project leadership for initiatives, coordination with business subject matter experts and travel to mine sites. This will be a global role that will coordinate with site and corporate stakeholders to ensure global alignment on service and project delivery. The role will also work with business operations management to ensure the program is focusing in areas most beneficial to the company.


  • Work closely with business, engineering and technology teams to develop solution to data-intensive business problems
  • Supervise internal and external science teams
  • Perform quality control of deliverables
  • Prepare reports and presentations, and communicate with Executives
  • Provide thought leadership in algorithmic and process innovations, and creativity in solving unconventional problems
  • Use statistical and programming tools such as R and Python to analyze data and develop machine-learning models
  • Perform other duties as required


Minimum Qualifications


  • Bachelors degree in an analytical field (statistics, mathematics, etc.) and eight (8) years of relevant work experience, OR
  • Masters degree in an analytical field (statistics, mathematics, etc.) and six (6) years of relevant work experience, OR
  • Proven track record of collaborating with business partners to translate business problems and needs into data-based analytical solutions
  • Proficient in predictive modeling:
  • Linear and logistic regression
  • Tree based techniques (CART, Random Forest, Gradient Boosting)
  • Time-Series Analysis
  • Anomaly detection
  • Survival Analysis
  • Strong Experience with SQL/Hive environments
  • Skilled with R and/or Python analysis environments
  • Experience with Big Data tools for machine learning, R, Hive, Python
  • Good communication skills


Preferred Qualifications


  • Doctorate degree in an analytical field
  • Willing and able to travel 20-30% or more


Criteria/Conditions


  • Ability to understand and apply verbal and written work and safety-related instructions and procedures given in English
  • Ability to communicate in English with respect to job assignments, job procedures, and applicable safety standards
  • Must be able to work in a potentially stressful environment
  • Position is in busy, non-smoking office located in downtown Phoenix, AZ
  • Location requires mobility in an office environment; each floor is accessible by elevator
  • Occasionally work will be performed in a mine, outdoor or manufacturing plant setting
  • Must be able to frequently sit, stand and walk
  • Must be able to frequently lift and carry up to ten (10) pounds
  • Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required
  • Freeport-McMoRan promotes a drug/alcohol-free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as allowed by applicable State laws


Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others. Accordingly, the Company has designated the following positions as safety-sensitive:


  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose motor vehicles includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.


Equal Opportunity Employer/Protected Veteran/Disability


Requisition ID
1900606 

Freeport-McMoRan
  • Phoenix, AZ

Supports the activities for all Freeport-McMoRan Big Data programs. Provides analytical support and expertise for the Big Data program; this includes coordination with business subject matter experts and travel to mine sites. The role will provide analyses and statistical models as part of Big Data projects, and may be the project lead on analytics initiatives. The role will also provide visualizations and descriptive results of the analysis. This will be a global role that will coordinate with site and corporate stakeholders to ensure alignment on project delivery.


    Work
    • closely with business, engineering and technology teams to analyze data-intensive business problems.
    • Research and develop appropriate statistical methodology to translate these business problems into analytics solutions
    • Perform quality control of deliverables
    • Develop visualizations of results and prepare deliverable reports and presentations, and communicate with business partners
    • Provide thought leadership in algorithmic and process innovations, and creativity in solving unconventional problems
    • Develop, implement and maintain analytical solutions in the Big Data environment
    • Work with onshore and offshore resources to implement and maintain analytical solutions
    • Perform variable selection and other standard modeling tasks
    • Produce model performance metrics
    • Use statistical and programming tools such as R and Python to analyze data and develop machine-learning models
    • Perform other duties as requested


Minimum Qualifications


  • Bachelors degree in an analytical field (statistics, mathematics, etc.) and five (5) years of relevant work experience, OR 
  • Masters degree in an analytical field (statistics, mathematics, etc.) and three (3) years of relevant work experience

  • Proven track record of collaborating with business partners to translate operational problems and needs into data-based analytical solutions

  • Proficient in predictive modeling:

  • Linear and logistic regression

  • Tree based techniques (CART, Random Forest, Gradient Boosting)

  • Time-Series Analysis

  • Anomaly detection

  • Survival Analysis

  • Strong experience with SQL/Hive environments

  • Skilled with R and/or Python analysis environments

  • Experience with Big Data tools for machine learning, R, Hive, Python

  • Good communication skills


Preferred Qualifications


  • Masters degree in an analytical field
  • Willing and able to travel 20-30% or more


Criteria/Conditions


  • Ability to understand and apply verbal and written work and safety-related instructions and procedures given in English
  • Ability to communicate in English with respect to job assignments, job procedures, and applicable safety standards

  • Must be able to work in a potentially stressful environment

  • Position is in busy, non-smoking office located in Phoenix, AZ

  • Location requires mobility in an office environment; each floor is accessible by elevator and internal staircase

  • Occasionally work may be performed in a mine, outdoor or manufacturing plant setting

  • Must be able to frequently sit, stand and walk

  • Must be able to frequently lift and carry up to ten (10) pounds

  • Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required

  • Freeport-McMoRan promotes a drug/alcohol free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as per applicable State Laws


Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others. Accordingly, the Company has designated the following positions as safety-sensitive:


  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose motor vehicles includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.


Equal Opportunity Employer/Protected Veteran/Disability


Requisition ID
1900604 

MRE Consulting, Ltd.
  • Houston, TX

Candidates for this U.S. position must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a) (1). Individuals with temporary visas such as A, B, C, D, E, F, G, H, I, J, L, M, NATO, O, P, Q, R or TN or who need sponsorship for work authorization in the United States now or in the future, are not eligible for hire.


Our client is seeking to hire an Enterprise Data Architect. The position reports to the VP IT. The Data Architect is responsible for providing a standard common business vocabulary across all applications and data elements, expressing and defining strategic data requirements, outlining high level integrated designs to meet the various business unit requirements, and aligning with the overall enterprise strategy and related business architecture.


Essential Duties & Responsibilities:
Provide insight and strategies for changing databased storage and utilization requirements for the company and provide direction on potential solutions
Assist in the definition and implementation of a federated data model consisting of a mixture of multi-cloud and on premises environments to support operations and business strategies
Assist in managing vendor cloud environments and multi-cloud database connectivity.
Analyze structural data requirements for new/existing applications and platforms
Submit reports to management that outline the changing data needs of the company and develop related solutions
Align database implementation methods to make sure they support company policies and any external regulations
Interpret data, analyze results and provide ongoing reporting and support
Implement data collection systems and other strategies that optimize efficiency and data quality
Acquire available data sources and maintain data systems
Identify, analyze, and interpret trends or patterns in data sets
Scrub data as needed, review reports, printouts, and performance indicators to identify inconsistencies
Develop database design and architecture documentation for the management and executive teams
Monitor various data base systems to confirm optimal performance standards are met
Contribute to content updates within resource portals and other operational needs
Assist in presentations and interpretations of analytical findings and actively participate in discussions of results, internally and externally
Help maintain the integrity and security of the company database
Ensure transactional activities are processed in accordance with standard operating procedures The employee will be on call 24 hours 7 days per week.


Qualifications
Minimum of 10 + years of experience.
Proven work experience as a Data Architect, Data Scientist, or similar role
In-depth understanding of database structure principles
Strong knowledge of data mining and segmentation techniques
Expertise in MS SQL and other database platforms
Familiarity with data visualization tools
Experience with formal Enterprise Architecture tools (like BiZZ design)
Experience in managing cloud-based environments
Aptitude regarding data models, data mining, and in cloud-based applications.
Advanced analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at report writing and presenting findings
Proficiency in systems support and monitoring
Experience with complex data structures in the Oil and Gas Industry a plus


Education 
A bachelors degree in Computer Science, Math, Statistics, or related quantitative field required.


Travel Requirements
The percentage of travel anticipated for this position is 10 20%, including overnight extended stays.


All qualified candidates should apply by providing a current Word resume and denoting skill set experience as it relates to this requirement.

Vector Consulting, Inc
  • Atlanta, GA
 

Our Government client is looking for an experienced ETL Developer on a renewable contract in Atlanta, GA

Position ETL Developer

The desired candidate will be responsible for design, development, testing, maintenance and support of complex data extract, transformation and load (ETL) programs for an Enterprise Data Warehouse. An understanding of how complex data should be transformed from the source and loaded into the data warehouse is a critical part of this job.

  • Deep hands-on experience on OBIEE RPD & BIP Reporting Data models, Development for seamless cross-functional and cross-systems data reporting
  • Expertise and solid experience in BI Tools OBIEE, Oracle Data Visualization and Power BI
  • Strong Informatica technical knowledge in design, development and management of complex Informatica mappings, sessions and workflows on Informatica Designer Components -Source Analyzer, Warehouse Designer, Mapping Designer & Mapplet Designer, Transformation Developer, Workflow Manager and Workflow Monitor.
  • Strong programming skills, relational database skills with expertise in Advanced SQL and PL/SQL, indexing and query tuning
  • Having implemented Advanced Analytical models in Python or R
  • Experienced in Business Intelligence and Data warehousing concepts and methodologies.
  • Extensive experience in data analysis and root cause analysis and proven problem solving and analytical thinking capabilities.
  • Analytical capabilities to slice and dice data and display data in reports for best user experience.
  • Demonstrated ability to review business processes and translate into BI reporting and analysis solutions.
  • Ability to follow Software Development Lifecycle (SDLC) process and should be able to work under any project management methodologies used.
  • Ability to follow best practices and standards.
  • Ability to identify BI application performance bottlenecks and tune.
  • Ability to work quickly and accurately under pressure and project time constraints
  • Ability to prioritize workload and work with minimal supervision
  • Basic understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, Version Control and Office software
  • Exposure Data Modeling using Star/Snowflake Schema Design, Data Marts, Relational and Dimensional Data Modeling, Slowly Changing Dimensions, Fact and Dimensional tables, Physical and Logical data modeling and in big data technologies
  • Experience with Big Data Lake / Hadoop implementations

 Required Qualifications:

  • A bachelors degree in Computer Science or related field
  • 6 to 10 years of experience working with OBIEE / Data Visualization / Informatica / Python
  • Ability to design and develop complex Informatica mappings, sessions, workflows and identify areas of optimizations
  • Experience with Oracle RDBMS 12g
  • Effective communication skills (both oral and written) and the ability to work effectively in a team environment are required
  • Proven ability and desire to mentor/coach others in a team environment
  • Strong analytical, problem solving and presentation skills.

Preferred Qualifications:

  • Working knowledge with Informatica Change Data Capture installed on DB2 z/OS
  • Working knowledge of Informatica Power Exchange
  • Experience with relational, multidimensional and OLAP techniques and technology
  • Experience with OBIEE tools version 10.X
  • Experience with Visualization tools like MS Power BI, Tableau, Oracle DVD
  • Experience with Python building predictive models

Soft Skills:

  • Strong written and oral communication skills in English Language
  • Ability to work with Business and communicate technical solution to solve business problems

About Vector:

Vector Consulting, Inc., (Headquartered in Atlanta) is an IT Talent Acquisition Solutions firm committed to delivering results. Since our founding in 1990, we have been partnering with our customers, understanding their business, and developing solutions with a commitment to quality, reliability and value. Our continuing growth has been and continues to be built around successful relationships that are based on our organization's operating philosophy and commitment to ** People, Partnerships, Purpose and Performance - THE VECTOR WAY

AIRBUS
  • Blagnac, France

Description of the job



Vacancies for 3 Data Scientists (m/f) have arisen within Airbus Commercial Aircraft in Toulouse. You will join the PLM Systems & Integration Tests team within IM Develop department.  



IM Develop organization is established to ensure Product Life Cycle Management (PLM) Support and Services as requested by Programmes, CoE and CoC. The department is the home within Airbus to lead the development, the implementation, the maintenance and the support of PLM to all Airbus programs in line with the corporate strategy.



Within the frame of its Digital Design, Manufacturing & Services (DDMS) project, Airbus is undergoing a significant digital transformation to benefit from the latest advances in new technologies and targets a major efficiency breakthrough across the program and product lifecycle. It will be enabled by a set of innovative concepts such as model based system engineering, modular product lines, digital continuity and concurrent co-design of the product, its industrial setup and operability features.



As a Data Scientist (m/f), you will be integrated in a team of the IM Develop department and appointed to dedicated missions. You will work in an international environment where you will able to develop in-depth knowledge of local specificities: engineering, manufacturing, costing, etc.



Tasks & accountabilities



Your main tasks and responsibilities will be to:




  • Analyze large amounts of information to discover trends and patterns, build predictive models, implement cost models and machine-learning algorithms based on technical data and DMU models.

  • Combine models through ensemble modelling

  • Present information using data visualization techniques

  • Propose solutions and strategies to business challenges

  • Implement features extraction by analyzing CAD models and engineering Bill of Material

  • Collaborate with engineering, costing (FCC) to implement new costing models in python

  • Design and propose new short/medium- and long-term forecasting methods

  • Consolidate, compare and enlarge the data required for the various types of modelling

  • Attend technical events/conferences and reinforce Data Science skills within Airbus




Required skills



We are looking for candidates with the following skills and experience:




  • Strong knowledge of python development in the frame of industrial projects

  • Experience in data mining & machine-learning

  • Knowledge of Scala, Java or C++,… familiarity with R, SQL is an asset

  • Experience using business intelligence tools

  • Analytical mindset

  • Strong math skills (e.g. statistics, algebra)

  • Problem-solving aptitude

  • Excellent communication and presentation skills

  • PLM knowledge and 3D CAD programming would be a plus

  • French & English: advanced level

Citizens Advice
  • London, UK
  • Salary: £40k - 45k

As a Database engineer in the DevOps team here at Citizens Advice you will help us develop and implement our data strategy. You will have the opportunity to work with both core database technologies and big data solutions.


Past


Starting from scratch, we have built a deep tech-stack with AWS services at its core. We created a new CRM system, migrated a huge amount of data to AWS Aurora PG and used AWS RDS to run some of our business critical databases.


You will have gained a solid background and in-depth knowledge of AWS RDS, SQL/Admin against DBMS's such as PostgreSql / MySQL / SQL Server, Dynamo / Aurora. You will have dealt with Data Warehousing, ETL, DB Mirroring/Replication, and DB Security Mechanisms & Techniques.


Present


We use AWS RDS including Aurora as the standard DB implementation for our applications. We parse data in S3 using Spark jobs and we are planning to implement a data lake solution in AWS.


Our tools and technologies include:



  • Postgres on AWS RDS

  • SQL Server for our Data Warehouse

  • Liquibase for managing the DW schema

  • Jenkins 2 for task automation

  • Spark / Parquet / AWS Glue for parsing raw data

  • Docker / docker-compose for local testing


You will be developing, supporting and maintaining automation tools to drive database, reporting and maintenance tasks.


As part of our internal engineering platform offering, R&D time will give you the opportunity to develop POC solutions to integrate with the rest of the business.


Future


You will seek continuous improvement and implement solutions to help Citizens Advice deliver digital products better and quicker.


You will be helping us implement a data lake solution to improve operations and to offer innovative services.


You will have dedicated investment time at Citizens Advice to learn new skills, technologies, research topics or work on tools that make this possible.

Intercontinental Exchange
  • Atlanta, GA
Job Purpose
The Data Analytics team is seeing a dynamic, self-motivated Data Scientist, who is able to work independently on data analysis, datamining, report development and customer requirement gathering.
Responsibilities
  • Applies data analysis and data modeling techniques, based upon a detailed understanding of the corporate information requirements, to establish, modify, or maintain data structures and their associated components
  • Participates in the development and maintenance of corporate data standards
  • Supports stakeholders and business users to define data and analytic requirements
  • Works with the business to identify additional internal and external data sources to bring into the data environment and mesh with existing data
  • Story board, create, ad publish standard reports, data visualizations, analysis and presentations
  • Develop and implement workflows using Alteryx and/or R
  • Develop and implement various operational and sales Tableau dashboards
Knowledge And Experience
  • Bachelors degree in statistics/engineering/math/quantitative analytics/economics/finance or a related quantitative discipline required
  • Masters in engineering/physics/statistics/economics/math/science preferred
  • 1+ years of experience with data science techniques and real-world application experience
  • 2+ years of experience supporting the development of analytics solutions leveraging tools like Tableau Desktop and Tableau Online
  • 1+ years of experience working with SQL, developing complex SQL queries, and leveraging SQL in Tableau
  • 1+ years of experience in Alteryx, and R coding
  • Deep understanding of Data Governance and Data Modeling
  • Ability to actualize requirements
  • Advanced written and oral communication skills with the ability to summarize findings and present in a clear, concise manner to peers, management, and others
Additional Information
    • Job Type Standard
    • Schedule Full-time
Comcast
  • Philadelphia, PA

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

As a Data Science Engineer in Comcastdx, you will research, model, develop, support data pipelines and deliver insights for key strategic initiatives. You will develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data-driven problem-solving analysis to address novel or abstract business operation questions; and incorporate insights and findings into a range of products.

Assist in design and development of collection and enrichment components focused on quality, timeliness, scale and reliability. Work on real-time data stores and a massive historical data store using best-of-breed and industry leading technology.

Responsibilities:

-Develop and support data pipelines

-Analyze massive amounts of data both in real-time and batch processing utilizing Spark, Kafka, and AWS technologies such as Kinesis, S3, ElastiSearch, and Lambda

-Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write ups shall occur initially, within a week of when process is created, and updated in writing when changes occur.

-Prototype ideas for new ML/AI tools, products and services

-Centralize data collection and synthesis, including survey data, enabling strategic and predictive analytics to guide business decisions

-Provide expert and professional data analysis to implement effective and innovative solutions meshing disparate data types to discover insights and trends.

-Employ rigorous continuous delivery practices managed under an agile software development approach

-Support DevOps practices to deploy and operate our systems

-Automate and streamline our operations and processes

-Troubleshoot and resolve issues in our development, test and production environments

Here are some of the specific technologies and concepts we use:

-Spark Core and Spark Streaming

-Machine learning techniques and algorithms

-Java, Scala, Python, R

-Artificial Intelligence

-AWS services including EMR, S3, Lambda, ElasticSearch

-Predictive Analytics

-Tableau, Kibana

-Git, Maven, Jenkins

-Linux

-Kafka

-Hadoop (HDFS, YARN)

Skills & Requirements:

-5-8 years of Java experience, Scala and Python experience a plus

-3+ years of experience as an analyst, data scientist, or related quantitative role.

-3+ years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques.

-Bachelors in Statistics, Math, Engineering, Computer Science, Statistics or related discipline. Master's Degree preferred.

-Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem

-Experience with more advanced modeling techniques (eg ML.)

-Distinctive problem solving and analysis skills and impeccable business judgement.

-Experience working with imperfect data sets that, at times, will require improvements to process, definition and collection

-Experience with real-time data pipelines and components including Kafka, Spark Streaming

-Proficient in Unix/Linux environments

-Test-driven development/test automation, continuous integration, and deployment automation

-Excellent communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly

-Team player is a must

-Great design and problem-solving skills

-Adaptable, proactive and willing to take ownership

-Attention to detail and high level of commitment

-Thrives in a fast-paced agile environment

About Comcastdx:

Comcastdxis a result driven big data engineering team responsible for delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization.dxhas an overarching objective to gather, organize, and make sense of Comcast data with intention to reveal business and operational insight, discover actionable intelligence, enable experimentation, empower users, and delight our stakeholders. Members of thedxteam define and leverage industry best practices, work on large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines.

Comcast is an EOE/Veterans/Disabled/LGBT employer

Comcast
  • Philadelphia, PA

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

As a Data Science Engineer in Comcastdx, you will research, model, develop, support data pipelines and deliver insights for key strategic initiatives. You will develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data-driven problem-solving analysis to address novel or abstract business operation questions; and incorporate insights and findings into a range of products.

Assist in design and development of collection and enrichment components focused on quality, timeliness, scale and reliability. Work on real-time data stores and a massive historical data store using best-of-breed and industry leading technology.

Responsibilities:

-Develop and support data pipelines

-Analyze massive amounts of data both in real-time and batch processing utilizing Spark, Kafka, and AWS technologies such as Kinesis, S3, ElastiSearch, and Lambda

-Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write ups shall occur initially, within a week of when process is created, and updated in writing when changes occur.

-Prototype ideas for new ML/AI tools, products and services

-Centralize data collection and synthesis, including survey data, enabling strategic and predictive analytics to guide business decisions

-Provide expert and professional data analysis to implement effective and innovative solutions meshing disparate data types to discover insights and trends.

-Employ rigorous continuous delivery practices managed under an agile software development approach

-Support DevOps practices to deploy and operate our systems

-Automate and streamline our operations and processes

-Troubleshoot and resolve issues in our development, test and production environments

Here are some of the specific technologies and concepts we use:

-Spark Core and Spark Streaming

-Machine learning techniques and algorithms

-Java, Scala, Python, R

-Artificial Intelligence

-AWS services including EMR, S3, Lambda, ElasticSearch

-Predictive Analytics

-Tableau, Kibana

-Git, Maven, Jenkins

-Linux

-Kafka

-Hadoop (HDFS, YARN)

Skills & Requirements:

-3-5years of Java experience, Scala and Python experience a plus

-2+ years of experience as an analyst, data scientist, or related quantitative role.

-2+ years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques.

-Bachelors in Statistics, Math, Engineering, Computer Science, Statistics or related discipline. Master's Degree preferred.

-Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem

-Experience with more advanced modeling techniques (eg ML.)

-Distinctive problem solving and analysis skills and impeccable business judgement.

-Experience working with imperfect data sets that, at times, will require improvements to process, definition and collection

-Experience with real-time data pipelines and components including Kafka, Spark Streaming

-Proficient in Unix/Linux environments

-Test-driven development/test automation, continuous integration, and deployment automation

-Excellent communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly

-Team player is a must

-Great design and problem-solving skills

-Adaptable, proactive and willing to take ownership

-Attention to detail and high level of commitment

-Thrives in a fast-paced agile environment

About Comcastdx:

Comcastdxis a result driven big data engineering team responsible for delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization.dxhas an overarching objective to gather, organize, and make sense of Comcast data with intention to reveal business and operational insight, discover actionable intelligence, enable experimentation, empower users, and delight our stakeholders. Members of thedxteam define and leverage industry best practices, work on large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines.

Comcast is an EOE/Veterans/Disabled/LGBT employer

Migo
  • Taipei, Taiwan

  • Responsibility 

    • Collaborate with data scientists to phase in statistical, predictive machine learning and AI models to production scale and continuously optimizing performance.

    • Design, build, optimize, launch and support new and existing data models and ETL processes in production based on data products and stakeholder needs.

    • Define and manage SLA and accuracy for all data sets in allocated areas of ownership.

    • Design and continuously improve data infrastructure and identify infra issues and drive to resolution.

    • Support software development team to build and maintain data collectors in Migo application ecosystem based on data warehouse and analytics user requirements.





  • Basic Qualification:

    • Bachelor's degree in Computer Science, Information Management or related field.

    • 2+ years hands-on experience in the data warehouse space, custom ETL design, implementation and maintenance.

    • 2+ years hands-on experience in SQL or similar languages and development experience in at least one scripting language (Python preferred).

    • Strong data architecture, data modeling, schema design and effective project management skills.

    • Excellent communication skills and proven experience in leading data driven projects from definition through interpretation and execution.

    • Experience with large data sets and data profiling techniques.

    • Ability to initiate and drive projects, and communicate data warehouse plans to internal clients/stakeholders.





  • Preferred Qualification:

    • Experience with big data and distributed computing technology such as Hive, Spark, Presto, Parquet

    • Experience building and maintaining production level data lake with Hadoop Cluster or AWS S3.

    • Experience with batch processing and streaming data pipeline/architecture design patterns such as lambda architecture or kappa architecture.








    • AI

    • ETL

    • (SLA)


    • Migo







    • 2data warehouse space, custom ETL

    • 2SQL (Python)

    • data modeling






    • Hive, Spark, Presto, Parquet

    • Hadoop Cluster or AWS S3.

    • lambda architecture or kappa architecture.


Hydrogen Group
  • Austin, TX

Data Scientist
x2 Roles
Permanent
Austin, TX
Remote + Flex Hours


Our client is a very well funded venture capital start-up ran by an experienced team of technical entrenreneurrs based in Austin, TX. Having sucessfully raisefd over $10 million in Series A funding they are looking to expand their existing Data Science and Analytics team by adding 2 new members with plans to grow total headcount to 10 by the summer.

The sucessful candidate will be focused on working with client company's data accross multople sources and developing algorithems and models which will be used to improve performance.


Requirements:

  • The ability to solve problems that no one else has before in a start-up environment - in return you will be given flexible working hours, ability to work remote as you deem fit.
  • Background in EITHER (or Both) Machine learning or statistics - PhD + advanced academic qualifications welcome but not essential.
  • Ability to work in R, Python, TensorFlow, RStudio preffered by not essential


Interviews taking place from 21st ownwards with offers made ASAP

IT - Data Scientist - x2 - Austin, TX - R - Machine Learning - IT - Analytics - Statistics - AI - Python - IT - Data Scientist - x2 - Austin, TX - Keras - Tensor Flow - RStudio - Data Scientist - x2 - Austin, TX -

Elev8 Hire Solutions
  • Atlanta, GA

Jr. Data Scientist


Our client in the Midtown area is looking for a Jr. Data Scientist with a passion for Machine Learning, knows the how's & why's of algorithms, and is excited about the fraud industry. You'll be a pivotal piece in the Atlanta/US team in development and application of adaptive real-time analytical modeling algorithms. So if that gets you excited, apply!


Role Expectations:


  • End-to-end processing and modeling of large customer data sets.
  • Working with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modeling.
  • Develop statistical models and algorithms for integration with companys product.
  • Apply analytical theory to real-world problems on large and dynamic datasets.
  • Produce materials to feedback analytic results to customers (reports, presentations, visualizations).
  • Providing input into future data science strategy and product development.
  • Working with development teams to support and enhance the analytical infrastructure.
  • Work with the QA team to advise on effective analytical testing.
  • Evaluate and improve the analytical results on live systems.
  • Develop an understanding of the industry data structures and processes.


Team working with:


  • Currently 6 other Data Scientist local to Atlanta, the rest of the team (10+) in Cambridge
  • 130 people in the entire company


Top skills required:


  • Degree-level qualification with good mathematical background and knowledge of statistics.
  • Professional experience using Random Forests, machine learning algorithms, development skills with C or Python
  • First-hand experience of putting Data Storage into production
  • Experience in implementing statistical models and analytical algorithms in software.
  • Practical experience of the handling and mining of large, diverse, data sets.
  • Must have a USA work visa or Passport.


Nice to have:


  • Ph.D. or other postgraduate qualification would be an extreme advantage
  • An indication of how relevant technologies have been used (not just a list).
  • Attention to grammatical detail, layout and presentation.


Benefits:


  • Regular bonus scheme
  • 20 days annual leave
  • Healthcare package
  • Free Friday lunches
  • Regular social outings
  • Fridge and cupboards packed full of edible treats
  • Annual summer social and Christmas dinner
FCA Fiat Chrysler Automobiles
  • Detroit, MI

Fiat Chrysler Automobiles is looking to fill the full-time position of a Data Scientist. This position is responsible for delivering insights to the commercial functions in which FCA operates.


The Data Scientist is a role in the Business Analytics & Data Services (BA) department and reports through the CIO. They will play a pivotal role in the planning, execution  and delivery of data science and machine learning-based projects. The bulk of the work with be in areas of data exploration and preparation, data collection and integration, machine learning (ML) and statistical modelling and data pipe-lining and deployment.

The newly hired data scientist will be a key interface between the ICT Sales & Marketing team, the Business and the BA team. Candidates need to be very much self-driven, curious and creative.

Primary Responsibilities:

    • Problem Analysis and Project Management:
      • Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science
      • Identify data-driven/ML business opportunities
      • Collaborate across the business to understand IT and business constraints
      • Prioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success
    • Data Exploration and Preparation:
      • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
      • Generate and test hypotheses about the underlying mechanics of the business process.
      • Network with domain experts to better understand the business mechanics that generated the data.
    • Data Collection and Integration:
      • Understand new data sources and process pipelines. Catalog and document their use in solving business problems.
      • Create data pipelines and assets the enable more efficiency and repeatability of data science activities.
    • Data Exploration and Preparation:
      • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
    • Machine Learning and Statistical Modelling:
      • Apply various ML and advanced analytics techniques to perform classification or prediction tasks
      • Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
      • Testing of ML models, such as cross-validation, A/B testing, bias and fairness
    • Operationalization:
      • Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options
      • (Help to) integrate model performance management tools into the current business infrastructure
      • (Help to) implement champion/challenger test (A/B tests) on production systems
      • Continuously monitor execution and health of production ML models
      • Establish best practices around ML production infrastructure
    • Other Responsibilities:
      • Train other business and IT staff on basic data science principles and techniques
      • Train peers on specialist data science topics
      • Promote collaboration with the data science COE within the organization.

Basic Qualifications:

    • A bachelors  in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience such as, economics, engineering and physics] is required. Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one area is strongly preferred.
    • Candidates should have three to six years of relevant project experience in successfully launching, planning, executing] data science projects. Preferably in the domains of automotive or customer behavior prediction.
    • Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc.
    • Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others.
    • Experience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc.
    • All candidates must be self-driven, curious and creative.
    • They must demonstrate the ability to work in diverse, cross-functional teams.
    • Should be confident, energetic self-starters, with strong moderation and communication skills.

Preferred Qualifications:

    • A master's degree or PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent.
    • Experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
    • Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
    • A specialization in text analytics, image recognition, graph analysis or other specialized ML techniques such as deep learning, etc., is preferred.
    • Ideally, the candidates are adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines.
    • Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions
    • Should exhibit superior presentation skills, including storytelling and other techniques to guide and inspire and explain analytics capabilities and techniques to the organization.
Accenture
  • Minneapolis, MN
Title : Solution Architect - Oracle Cloud Big Data Management
Organization: Technology/National Data Governance
Locations: Atlanta, Austin, Boston, Charlotte, Chicago, Dallas, Denver, District of Columbia, Florham Park, Houston, Minneapolis, New York, Philadelphia, Phoenix, Raleigh, or Tampa
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better!There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies.We will nurture your talent in an inclusive culture that values diversity.Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
Oracle Cloud professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, data and container services, server less (data) computing, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Oracle cloud platforms, Oracle cloud data management, Oracle Cloud data integration, Oracle Exadata, AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
  • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems
  • Understands the strategic direction set by senior management as it relates to team goals
  • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary
  • Primary upward interaction is with direct supervisor
  • May interact with peers, client counterparts and/or management levels within Accenture
  • Understands methods and procedures on new assignments and executes deliverables with guidance as needed
  • May interact with peers and/or management levels at a client and/or within Accenture
  • Determines methods and procedures on new assignments with guidance
  • Decisions often impact the team in which they reside
  • Manages teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
Basic Qualifications
    • Minimum of 12 years of experience in multiple disciplines including; solution or technical architecture, Data Management, Cloud, or Big Data
    • Minimum of 5 years of experience designing and implementing large and complex Data Lakes, Data Warehouses, and Analytics projects
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Big Data Management
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Integration, Hadoop, NoSQL, Apache Hadoop, Spark, and Hive
    • Minimum of 3 years of experience developing solutions utilizing a combination of the following;
    • Autonomous Data Warehouse Cloud
    • Autonomous NoSQL Database Cloud
    • Big Data / Big Data SQL Cloud
    • Data Hub
    • Event Hub
    • Exadata
    • Exadata Express
    • MySQL Database
    • Apiary, Data Integrator
    • GoldenGate
    • Self-Service Integration
Preferred Qualifications
    • Experience as a consulting manager in a top-tier consulting firm preferred
    • Deep understanding of public cloud platforms like AWS, MS Azure and Google Cloud Platform
    • Experience with delivering Big Data Solutions in the public cloud platforms
    • Ability to configure and support API and Opensource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    • Over 2 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work

Professional Skill Requirements
  • Proven success in contributing to a team-oriented environment
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Desire to work in an information systems environment
  • Excellent communication (written and oral) and interpersonal skills
  • Ability to work with senior client executives
Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Phoenix, AZ
Title : Solution Architect - Oracle Cloud Big Data Management
Organization: Technology/National Data Governance
Locations: Atlanta, Austin, Boston, Charlotte, Chicago, Dallas, Denver, District of Columbia, Florham Park, Houston, Minneapolis, New York, Philadelphia, Phoenix, Raleigh, or Tampa
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better!There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies.We will nurture your talent in an inclusive culture that values diversity.Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
Oracle Cloud professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, data and container services, server less (data) computing, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Oracle cloud platforms, Oracle cloud data management, Oracle Cloud data integration, Oracle Exadata, AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
  • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems
  • Understands the strategic direction set by senior management as it relates to team goals
  • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary
  • Primary upward interaction is with direct supervisor
  • May interact with peers, client counterparts and/or management levels within Accenture
  • Understands methods and procedures on new assignments and executes deliverables with guidance as needed
  • May interact with peers and/or management levels at a client and/or within Accenture
  • Determines methods and procedures on new assignments with guidance
  • Decisions often impact the team in which they reside
  • Manages teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
Basic Qualifications
    • Minimum of 12 years of experience in multiple disciplines including; solution or technical architecture, Data Management, Cloud, or Big Data
    • Minimum of 5 years of experience designing and implementing large and complex Data Lakes, Data Warehouses, and Analytics projects
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Big Data Management
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Integration, Hadoop, NoSQL, Apache Hadoop, Spark, and Hive
    • Minimum of 3 years of experience developing solutions utilizing a combination of the following;
    • Autonomous Data Warehouse Cloud
    • Autonomous NoSQL Database Cloud
    • Big Data / Big Data SQL Cloud
    • Data Hub
    • Event Hub
    • Exadata
    • Exadata Express
    • MySQL Database
    • Apiary, Data Integrator
    • GoldenGate
    • Self-Service Integration
Preferred Qualifications
    • Experience as a consulting manager in a top-tier consulting firm preferred
    • Deep understanding of public cloud platforms like AWS, MS Azure and Google Cloud Platform
    • Experience with delivering Big Data Solutions in the public cloud platforms
    • Ability to configure and support API and Opensource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    • Over 2 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work

Professional Skill Requirements
  • Proven success in contributing to a team-oriented environment
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Desire to work in an information systems environment
  • Excellent communication (written and oral) and interpersonal skills
  • Ability to work with senior client executives
Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Austin, TX
Title : Solution Architect - Oracle Cloud Big Data Management
Organization: Technology/National Data Governance
Locations: Atlanta, Austin, Boston, Charlotte, Chicago, Dallas, Denver, District of Columbia, Florham Park, Houston, Minneapolis, New York, Philadelphia, Phoenix, Raleigh, or Tampa
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better!There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies.We will nurture your talent in an inclusive culture that values diversity.Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
Oracle Cloud professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, data and container services, server less (data) computing, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Oracle cloud platforms, Oracle cloud data management, Oracle Cloud data integration, Oracle Exadata, AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
  • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems
  • Understands the strategic direction set by senior management as it relates to team goals
  • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary
  • Primary upward interaction is with direct supervisor
  • May interact with peers, client counterparts and/or management levels within Accenture
  • Understands methods and procedures on new assignments and executes deliverables with guidance as needed
  • May interact with peers and/or management levels at a client and/or within Accenture
  • Determines methods and procedures on new assignments with guidance
  • Decisions often impact the team in which they reside
  • Manages teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
Basic Qualifications
    • Minimum of 12 years of experience in multiple disciplines including; solution or technical architecture, Data Management, Cloud, or Big Data
    • Minimum of 5 years of experience designing and implementing large and complex Data Lakes, Data Warehouses, and Analytics projects
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Big Data Management
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Integration, Hadoop, NoSQL, Apache Hadoop, Spark, and Hive
    • Minimum of 3 years of experience developing solutions utilizing a combination of the following;
    • Autonomous Data Warehouse Cloud
    • Autonomous NoSQL Database Cloud
    • Big Data / Big Data SQL Cloud
    • Data Hub
    • Event Hub
    • Exadata
    • Exadata Express
    • MySQL Database
    • Apiary, Data Integrator
    • GoldenGate
    • Self-Service Integration
Preferred Qualifications
    • Experience as a consulting manager in a top-tier consulting firm preferred
    • Deep understanding of public cloud platforms like AWS, MS Azure and Google Cloud Platform
    • Experience with delivering Big Data Solutions in the public cloud platforms
    • Ability to configure and support API and Opensource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    • Over 2 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work

Professional Skill Requirements
  • Proven success in contributing to a team-oriented environment
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Desire to work in an information systems environment
  • Excellent communication (written and oral) and interpersonal skills
  • Ability to work with senior client executives
Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Dallas, TX
Title : Solution Architect - Oracle Cloud Big Data Management
Organization: Technology/National Data Governance
Locations: Atlanta, Austin, Boston, Charlotte, Chicago, Dallas, Denver, District of Columbia, Florham Park, Houston, Minneapolis, New York, Philadelphia, Phoenix, Raleigh, or Tampa
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better!There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies.We will nurture your talent in an inclusive culture that values diversity.Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
Oracle Cloud professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, data and container services, server less (data) computing, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Oracle cloud platforms, Oracle cloud data management, Oracle Cloud data integration, Oracle Exadata, AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
  • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems
  • Understands the strategic direction set by senior management as it relates to team goals
  • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary
  • Primary upward interaction is with direct supervisor
  • May interact with peers, client counterparts and/or management levels within Accenture
  • Understands methods and procedures on new assignments and executes deliverables with guidance as needed
  • May interact with peers and/or management levels at a client and/or within Accenture
  • Determines methods and procedures on new assignments with guidance
  • Decisions often impact the team in which they reside
  • Manages teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
Basic Qualifications
    • Minimum of 12 years of experience in multiple disciplines including; solution or technical architecture, Data Management, Cloud, or Big Data
    • Minimum of 5 years of experience designing and implementing large and complex Data Lakes, Data Warehouses, and Analytics projects
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Big Data Management
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Integration, Hadoop, NoSQL, Apache Hadoop, Spark, and Hive
    • Minimum of 3 years of experience developing solutions utilizing a combination of the following;
    • Autonomous Data Warehouse Cloud
    • Autonomous NoSQL Database Cloud
    • Big Data / Big Data SQL Cloud
    • Data Hub
    • Event Hub
    • Exadata
    • Exadata Express
    • MySQL Database
    • Apiary, Data Integrator
    • GoldenGate
    • Self-Service Integration
Preferred Qualifications
    • Experience as a consulting manager in a top-tier consulting firm preferred
    • Deep understanding of public cloud platforms like AWS, MS Azure and Google Cloud Platform
    • Experience with delivering Big Data Solutions in the public cloud platforms
    • Ability to configure and support API and Opensource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    • Over 2 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work

Professional Skill Requirements
  • Proven success in contributing to a team-oriented environment
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Desire to work in an information systems environment
  • Excellent communication (written and oral) and interpersonal skills
  • Ability to work with senior client executives
Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Houston, TX
Title : Solution Architect - Oracle Cloud Big Data Management
Organization: Technology/National Data Governance
Locations: Atlanta, Austin, Boston, Charlotte, Chicago, Dallas, Denver, District of Columbia, Florham Park, Houston, Minneapolis, New York, Philadelphia, Phoenix, Raleigh, or Tampa
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better!There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies.We will nurture your talent in an inclusive culture that values diversity.Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
Oracle Cloud professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, data and container services, server less (data) computing, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Oracle cloud platforms, Oracle cloud data management, Oracle Cloud data integration, Oracle Exadata, AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
  • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems
  • Understands the strategic direction set by senior management as it relates to team goals
  • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary
  • Primary upward interaction is with direct supervisor
  • May interact with peers, client counterparts and/or management levels within Accenture
  • Understands methods and procedures on new assignments and executes deliverables with guidance as needed
  • May interact with peers and/or management levels at a client and/or within Accenture
  • Determines methods and procedures on new assignments with guidance
  • Decisions often impact the team in which they reside
  • Manages teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
Basic Qualifications
    • Minimum of 12 years of experience in multiple disciplines including; solution or technical architecture, Data Management, Cloud, or Big Data
    • Minimum of 5 years of experience designing and implementing large and complex Data Lakes, Data Warehouses, and Analytics projects
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Big Data Management
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Integration, Hadoop, NoSQL, Apache Hadoop, Spark, and Hive
    • Minimum of 3 years of experience developing solutions utilizing a combination of the following;
    • Autonomous Data Warehouse Cloud
    • Autonomous NoSQL Database Cloud
    • Big Data / Big Data SQL Cloud
    • Data Hub
    • Event Hub
    • Exadata
    • Exadata Express
    • MySQL Database
    • Apiary, Data Integrator
    • GoldenGate
    • Self-Service Integration
Preferred Qualifications
    • Experience as a consulting manager in a top-tier consulting firm preferred
    • Deep understanding of public cloud platforms like AWS, MS Azure and Google Cloud Platform
    • Experience with delivering Big Data Solutions in the public cloud platforms
    • Ability to configure and support API and Opensource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    • Over 2 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work

Professional Skill Requirements
  • Proven success in contributing to a team-oriented environment
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Desire to work in an information systems environment
  • Excellent communication (written and oral) and interpersonal skills
  • Ability to work with senior client executives
Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Raleigh, NC
Title : Solution Architect - Oracle Cloud Big Data Management
Organization: Technology/National Data Governance
Locations: Atlanta, Austin, Boston, Charlotte, Chicago, Dallas, Denver, District of Columbia, Florham Park, Houston, Minneapolis, New York, Philadelphia, Phoenix, Raleigh, or Tampa
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better!There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies.We will nurture your talent in an inclusive culture that values diversity.Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
Oracle Cloud professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, data and container services, server less (data) computing, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Oracle cloud platforms, Oracle cloud data management, Oracle Cloud data integration, Oracle Exadata, AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
  • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems
  • Understands the strategic direction set by senior management as it relates to team goals
  • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary
  • Primary upward interaction is with direct supervisor
  • May interact with peers, client counterparts and/or management levels within Accenture
  • Understands methods and procedures on new assignments and executes deliverables with guidance as needed
  • May interact with peers and/or management levels at a client and/or within Accenture
  • Determines methods and procedures on new assignments with guidance
  • Decisions often impact the team in which they reside
  • Manages teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
Basic Qualifications
    • Minimum of 12 years of experience in multiple disciplines including; solution or technical architecture, Data Management, Cloud, or Big Data
    • Minimum of 5 years of experience designing and implementing large and complex Data Lakes, Data Warehouses, and Analytics projects
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Big Data Management
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Integration, Hadoop, NoSQL, Apache Hadoop, Spark, and Hive
    • Minimum of 3 years of experience developing solutions utilizing a combination of the following;
    • Autonomous Data Warehouse Cloud
    • Autonomous NoSQL Database Cloud
    • Big Data / Big Data SQL Cloud
    • Data Hub
    • Event Hub
    • Exadata
    • Exadata Express
    • MySQL Database
    • Apiary, Data Integrator
    • GoldenGate
    • Self-Service Integration
Preferred Qualifications
    • Experience as a consulting manager in a top-tier consulting firm preferred
    • Deep understanding of public cloud platforms like AWS, MS Azure and Google Cloud Platform
    • Experience with delivering Big Data Solutions in the public cloud platforms
    • Ability to configure and support API and Opensource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    • Over 2 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work

Professional Skill Requirements
  • Proven success in contributing to a team-oriented environment
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Desire to work in an information systems environment
  • Excellent communication (written and oral) and interpersonal skills
  • Ability to work with senior client executives
Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Philadelphia, PA
Title : Solution Architect - Oracle Cloud Big Data Management
Organization: Technology/National Data Governance
Locations: Atlanta, Austin, Boston, Charlotte, Chicago, Dallas, Denver, District of Columbia, Florham Park, Houston, Minneapolis, New York, Philadelphia, Phoenix, Raleigh, or Tampa
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better!There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology and data experts who are highly collaborative taking on todays biggest, most complex business challenges using the latest data and analytics technologies.We will nurture your talent in an inclusive culture that values diversity.Come grow your career in Technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
Oracle Cloud professionals develop deep data integration skills to support Accenture's Cloud Big data engineering and analytics agendas, including skills such as cloud big data platform architecture, data and container services, server less (data) computing, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Oracle cloud platforms, Oracle cloud data management, Oracle Cloud data integration, Oracle Exadata, AI / Machine learning capabilities in Data Platforms
    • Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
    • Build Senior stakeholder relationships
    • Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
    • Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
    • Develop industry relevant data analytics solutions for enterprise business functions
    • Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
    • Collaborate with partners (software vendors) to build joint industry solutions
    • Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
    • Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
    • Evaluate alliance technologies for potential go-to-market partnerships.
    • Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
    • Coach and mentor both senior and junior members across OGs and IDC.
    • Develop practical solutions, methodologies, solution patterns and point-of-view documents.
    • Manage and grow Data, Data on Cloud pipeline
    • Participate in industry events to project Accentures thought leadership
A professional at this position level within Accenture has the following responsibilities:
  • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems
  • Understands the strategic direction set by senior management as it relates to team goals
  • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary
  • Primary upward interaction is with direct supervisor
  • May interact with peers, client counterparts and/or management levels within Accenture
  • Understands methods and procedures on new assignments and executes deliverables with guidance as needed
  • May interact with peers and/or management levels at a client and/or within Accenture
  • Determines methods and procedures on new assignments with guidance
  • Decisions often impact the team in which they reside
  • Manages teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
Basic Qualifications
    • Minimum of 12 years of experience in multiple disciplines including; solution or technical architecture, Data Management, Cloud, or Big Data
    • Minimum of 5 years of experience designing and implementing large and complex Data Lakes, Data Warehouses, and Analytics projects
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Big Data Management
    • Minimum of 3 years of experience and a working knowledge of Oracle Cloud Integration, Hadoop, NoSQL, Apache Hadoop, Spark, and Hive
    • Minimum of 3 years of experience developing solutions utilizing a combination of the following;
    • Autonomous Data Warehouse Cloud
    • Autonomous NoSQL Database Cloud
    • Big Data / Big Data SQL Cloud
    • Data Hub
    • Event Hub
    • Exadata
    • Exadata Express
    • MySQL Database
    • Apiary, Data Integrator
    • GoldenGate
    • Self-Service Integration
Preferred Qualifications
    • Experience as a consulting manager in a top-tier consulting firm preferred
    • Deep understanding of public cloud platforms like AWS, MS Azure and Google Cloud Platform
    • Experience with delivering Big Data Solutions in the public cloud platforms
    • Ability to configure and support API and Opensource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    • Over 2 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work

Professional Skill Requirements
  • Proven success in contributing to a team-oriented environment
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Desire to work in an information systems environment
  • Excellent communication (written and oral) and interpersonal skills
  • Ability to work with senior client executives
Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.