OnlyDataJobs.com

Wipro Limited
  • Dallas, TX

Below is the Job Description

    • 15-20 years of experience as Data Engineer / Architect working on end-to-end architecture, consulting on Cloud Platforms
    • Strong experience in large scale initiatives for building world class products on Cloud and Big Data Platforms, managing and handling large data repositories, delivering distributed and highly scalable applications
    • Experience in defining roadmap migration journey on to Cloud Platform covering Data Lake, Data-warehouse, Object Stores, Data Processing using Spark, Real-Time, Deep learning, AI/ML, Notebooks   etc.
    • Strong DevOps skillset and working in Agile environment
    • Good Customer facing, interpersonal and communication skills
    • Experience in addressing non-functional requirements and large application deployment architectures with concerns such as scalability, performance, availability, reliability, enterprise security, data governance, data quality etc.
    • Ability to quickly prototype, architect and build software using latest technologies around Google Cloud Platform, AWS and/or Azure
    • Strong experience on following technologies - Spark, Snowflake, Redshift, Cloudera, Kafka, ETL tools
    •  Candidate should have at least one or two projects delivered at Production Scale on above technology stacks.

Thanks

Harsha Awtaney

4082033108

Cloudreach
  • Atlanta, GA

Big dreams often start small. From an idea in a London pub, we have grown into a global cloud enabler which operates across 7 countries and speak over 30 languages.


Our purpose at Cloudreach is to enable innovation. We do this by helping enterprise customers adopt and harness the power of cloud computing. We believe that the growth of a great business can only be fuelled by great people, so join us in our partnership with AWS, Microsoft and Google and help us  build one of the most disruptive companies in the cloud industry. Its not your average job, because Cloudreach is not your average company.


What does the Cloud Enablement team do?

Our Cloud Enablement team helps provide consultative, architectural, program and engineering support for our customers' journeys to the cloud. The word 'Enablement' was chosen carefully, to encompass the idea that we support and encourage a collaborative approach to Cloud adoption, sharing best practices, helping change the culture of teams and strategic support to ensure success.


How will you spend your days ?

    • Build technical solutions required for optimal ingestion, transformation, and loading of data from a wide variety of data sources using open source, AWS, Azure or GCP big data frameworks and services.
    • Work with the product and software team to provide feedback surrounding data-related technical issues and support for data infrastructure needs uncovered during customer engagements / testing.
    • Understand and formulate processing pipelines of large, complex data sets that meet functional / non-functional business requirements.
    • Create and maintain optimal data pipeline architecture
    • Working alongside the Cloud Architect and Cloud Enablement Manager to implement Data Engineering solutions
    • Collaborating with the customers data scientists and data stewards/governors during workshop sessions to uncover more detailed business requirements related to data engineering


What kind of career progression can you expect ?

    • You can grow into a Cloud Data Engineer Lead or a Cloud Data Architect
    • There are opportunities for relocation in our other cloudy hubs

How to stand out ?

    • Experience in building scalable end-to-end data ingestion and processing solutions
    • Good understanding of data infrastructure and distributed computing principles
    • Proficient at implementing data processing workflows using Hadoop and frameworks such as Spark and Flink
    • Good understanding of data governance and how regulations can impact data storage and processing solutions such as GDPR and PCI
    • Ability to identify and select the right tools for a given problem, such as knowing when to use a relational or non-relational database
    • Working knowledge of non-relational and row/columnar based relational databases
    • Experience with Machine Learning toolkits
    • Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala
    • This position requires travel up to 70% (M-F) any given week, with an average of 50% per year


What are our cloudy perks?

      A M
    • a
        c
      • Book Pro and iphone or google pixel (your pick!)
      • Unique cloudy culture -- we work hard and play hard
      • Uncapped holidays and your birthday off
      • World-class training and career development opportunities through our own Cloudy University
      • Centrally-located offices
      • Fully stocked kitchen and team cloudy lunches, taking over a restaurant or two every Friday
      • Office amenities like pool tables and Xbox on the big screen TV
      • Working with a collaborative, social team, and growing your skills faster than you will anywhere else
      • Quarterly kick-off events with the opportunity to travel abroad
      • Full benefits and 401k match


    If you want to learn more, check us out on Glassdoor. Not if. When will you join Cloudreach?

Cloudreach
  • Atlanta, GA

Big dreams often start small. From an idea in a London pub, we have grown into a global cloud enabler which operates across 7 countries and speak over 30 languages.


Our purpose at Cloudreach is to enable innovation. We do this by helping enterprise customers adopt and harness the power of cloud computing. We believe that the growth of a great business can only be fueled by great people, so join us in our partnership with AWS, Microsoft and Google and help us build one of the most disruptive companies in the cloud industry. Its not your average job, because Cloudreach is not your average company.


Mission:

The purpose of a Cloud Data Architect is to design solution that enable data scientists and analysts to gain insights into data using data-driven cloud based services and infrastructures. At Cloudreach, they will be subject matter experts and will be responsible for the stakeholder management and technical leadership for data ingestion and processing engagements. A good understanding of cloud platforms and prior experience working with big data tooling and frameworks is required.


What will you do at Cloudreach?

  • Build technical solutions required for optimal ingestion, transformation, and loading of data from a wide variety of data sources using open source, AWS, Azure or GCP big data frameworks and services.
  • Work with the product and software team to provide feedback surrounding data-related technical issues and support for data infrastructure needs uncovered during customer engagements / testing.
  • Understand and formulate processing pipelines of large, complex data sets that meet functional / non-functional business requirements.
  • Create and maintain optimal data pipeline architecture
  • Working alongside Cloud Data Engineers, Cloud System Developers and Cloud Enablement Manager to implement Data Engineering solutions
  • Collaborating with the customers data scientists and data stewards during workshop sessions to uncover more detailed business requirements related to data engineering
  • This position requires travel up to 70% (M-F) any given week, with an average of 50% per year


What do we look for?

The Cloud Data Architect has extensive experience working with big data tools and supporting cloud services, a pragmatic mindset focused on translating functional and non-functional requirements into viable architectures, and ideally a consultancy background, leading a highly skilled team on engagements that implement complex and innovative data solutions for clients.


In addition, the Cloud Data Architect thrives in a collaborative and agile environment with an ability to learn new concepts easily.


  • Technical
      skills:
  • Exper
    • ience in building scalable end-to-end data ingestion and processing solutions Good
    • understanding of data infrastructure and distributed computing principles Profi
    • cient at implementing data processing workflows using Hadoop and frameworks such as Spark and Flink Good
    • understanding of data governance and how regulations can impact data storage and processing solutions such as GDPR and PCI Abili
    • ty to identify and select the right tools for a given problem, such as knowing when to use a relational or non-relational database Worki
    • ng knowledge of non-relational and row/columnar based relational databases Exper
    • ience with Machine Learning toolkits Exper
    • ience with object-oriented and/or functional programming languages, such as Python, Java and Scala
    • Demonstrable working experience
      • A successful history of manipulating, processing and extracting value from large disconnected datasets
      • Delivering production scale data engineering solutions leveraging one or more cloud services
      • Confidently taking responsibility for the technical output of a project
      • Ability to quickly pick up new skills and learn on the job
      • Comfortably working with various stakeholders such as data scientists, architects and other developers
    • Solid communication skills: You can clearly articulate the vision and confidently communicate with all stakeholder levels: Cloudreach, Customer, 3rd Parties and Partners - both verbal and written. You are able to identify core messages and act quickly and appropriately.


    What are our cloudy perks?

    • A MacBook Pro and smartphone.
    • Unique cloudy culture -- we work hard and play hard.
    • Uncapped holidays and your birthday off.
    • World-class training and career development opportunities through our own Cloudy University.
    • Centrally-located offices.
    • Fully stocked kitchen and team cloudy lunches, taking over a restaurant or two every Friday.
    • Office amenities like pool tables and Xbox on the big screen TV.
    • Working with a collaborative, social team, and growing your skills faster than you will anywhere else.
    • Full benefits and 401k match.
    • Kick-off events at cool locations throughout the country.
BlueGranite
  • Houston, TX

BlueGranite is looking for a Data & Analytics Staff Consultant to join our team of data architects, engineers, analysts, and data scientists. 


We're looking for individuals with full-time work experience in a professional, project-based setting. Candidates should have experience with data and analytics solutions and workloads, which may include processing and combining data from disparate sources, collecting data from internal systems and preparing it for analysis, or building data visualizations to make the analytical results available to business users and decision makers.


Our consultants work side-by-side with other team members on client projects involving modern platforms and technologies such as SQL Server, Azure data services, Spark, Python, and Power BI.


This full-time position is for individuals who enjoy a hands-on, development role on client-facing project teams with up to 25% travel on an annual basis, plus the potential for regular travel to our Kalamazoo, Michigan area office for the first couple of months for training and onboarding (as needed).


At a minimum, were looking for:


  • Experience processing and combining data from disparate sources such as relational databases, spreadsheets, delimited files, flat files or various user created documents
  • Strong skills and experience with Microsoft SQL Server, Azure, and/or Power BI for data warehousing, data lakes, reporting, and analytics solutions
  • Strong interest in building solutions for analytics and data manipulation with languages and tools including Spark, Python, R, SQL, or Hadoop
  • Knowledge of database languages, concepts, and environments
  • Passion for both business and technology
  • Curiosity about data and the ability to translate data-driven insights into decisions and actions
  • Self-starter, self-managed, quick learner, problem-solver with a positive, collaborative, and team-based attitude
  • Excellent communication skills, ability to engage with other project team members and clients
  • Degree in information technology, computer science, business, statistics, mathematics, or engineering
  • Ability to travel on average of 25% per year, plus the potential for regular travel to our Kalamazoo, Michigan area office for the first couple of months
  • Authorization to work in the U.S., without the requirement for an employment visa


Although not required of applicants, these are sought-after abilities:


  • Demonstration of thought leadership, community volunteering, recognition or awards
  • Professional work experience with SQL, Hadoop, Python, Spark, or R for data and analytics
  • Experience with the development of data warehouse and business intelligence solutions
  • Ability to implement on-premises or cloud-based data ingestion (ETL vs ELT) solutions
  • Aptitude and experience with SQL queries for analytics and data manipulation


Your primary responsibilities would include:


  • Developing and supporting data and analytics solutions using Microsoft SQL, Power BI, and Azure as part of BlueGranite's project delivery teams
  • Creating informative and interactive data visualizations/models
  • Writing relational and multidimensional database queries, flows and movements
  • Obtaining and maintaining technical certifications in these core areas of expertise


BlueGranite is the driving force of data innovation for our customers. We are strategic trusted advisers who use our aptitude and experience to deliver value to our clients. We invest in our team to become better at who we are and what we do. Our core strategy is to lead with offers for data, insights, and analytics that deliver business value on the Microsoft platform.

This position is for U.S. based applicants located in the following states: Michigan, Indiana, Illinois, Ohio, Minnesota, Texas, Florida, Georgia, North Carolina, South Carolina, New York, Massachusetts, or New Hampshire. We are not able to provide sponsorship for student or other employment work visas at this time.


The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

Accenture
  • Houston, TX
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.
AWS Big Data Engineering 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, AWS data services, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services 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:
    • Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
    • Leads and supports client sales pursuits.
    • Collaborates with highly talented resource pool and helps lead the Community of Data practice.
    • Key participant in setting strategic direction to establish near term goals for area of responsibility.
    • Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
    • Has latitude in decision-making and determining objectives and approaches to critical assignments .
    • Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
    • Mana
    • ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

    Basic Qualifications
      • 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
      • 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
      • 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
      • Must be able to travel 100% (Mon-Thurs)
      • Bachelors degree or 12 years professional experience
      • 5 years of experience developing solutions utilizing:
        • Kafka based streaming services
        • R Studio
        • RDS, S3, glacier
        • MapReduce, Pig, Hive
        • Scala, Spark
    Preferred Qualifications
      • Experience as a consulting manager in a top-tier consulting firm preferred
      • Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
      • Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
      • Experience with delivering Big Data Solutions in the cloud with AWS
      • Ability to configure and support API and Opensource integrations
      • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
      • Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
      • Experience with DevOps support
      • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    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
  • Atlanta, GA
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.
AWS Big Data Engineering 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, AWS data services, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services 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:
    • Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
    • Leads and supports client sales pursuits.
    • Collaborates with highly talented resource pool and helps lead the Community of Data practice.
    • Key participant in setting strategic direction to establish near term goals for area of responsibility.
    • Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
    • Has latitude in decision-making and determining objectives and approaches to critical assignments .
    • Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
    • Mana
    • ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

    Basic Qualifications
      • 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
      • 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
      • 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
      • Must be able to travel 100% (Mon-Thurs)
      • Bachelors degree or 12 years professional experience
      • 5 years of experience developing solutions utilizing:
        • Kafka based streaming services
        • R Studio
        • RDS, S3, glacier
        • MapReduce, Pig, Hive
        • Scala, Spark
    Preferred Qualifications
      • Experience as a consulting manager in a top-tier consulting firm preferred
      • Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
      • Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
      • Experience with delivering Big Data Solutions in the cloud with AWS
      • Ability to configure and support API and Opensource integrations
      • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
      • Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
      • Experience with DevOps support
      • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    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
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.
AWS Big Data Engineering 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, AWS data services, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services 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:
    • Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
    • Leads and supports client sales pursuits.
    • Collaborates with highly talented resource pool and helps lead the Community of Data practice.
    • Key participant in setting strategic direction to establish near term goals for area of responsibility.
    • Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
    • Has latitude in decision-making and determining objectives and approaches to critical assignments .
    • Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
    • Mana
    • ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

    Basic Qualifications
      • 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
      • 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
      • 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
      • Must be able to travel 100% (Mon-Thurs)
      • Bachelors degree or 12 years professional experience
      • 5 years of experience developing solutions utilizing:
        • Kafka based streaming services
        • R Studio
        • RDS, S3, glacier
        • MapReduce, Pig, Hive
        • Scala, Spark
    Preferred Qualifications
      • Experience as a consulting manager in a top-tier consulting firm preferred
      • Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
      • Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
      • Experience with delivering Big Data Solutions in the cloud with AWS
      • Ability to configure and support API and Opensource integrations
      • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
      • Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
      • Experience with DevOps support
      • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    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
  • Minneapolis, MN
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.
AWS Big Data Engineering 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, AWS data services, on premise to cloud data migration, data ingestion, data curation, and data migration.
    • Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services 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:
    • Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
    • Leads and supports client sales pursuits.
    • Collaborates with highly talented resource pool and helps lead the Community of Data practice.
    • Key participant in setting strategic direction to establish near term goals for area of responsibility.
    • Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
    • Has latitude in decision-making and determining objectives and approaches to critical assignments .
    • Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
    • Mana
    • ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

    Basic Qualifications
      • 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
      • 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
      • 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
      • Must be able to travel 100% (Mon-Thurs)
      • Bachelors degree or 12 years professional experience
      • 5 years of experience developing solutions utilizing:
        • Kafka based streaming services
        • R Studio
        • RDS, S3, glacier
        • MapReduce, Pig, Hive
        • Scala, Spark
    Preferred Qualifications
      • Experience as a consulting manager in a top-tier consulting firm preferred
      • Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
      • Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
      • Experience with delivering Big Data Solutions in the cloud with AWS
      • Ability to configure and support API and Opensource integrations
      • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
      • Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
      • Experience with DevOps support
      • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
    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.
KI labs GmbH
  • München, Germany
  • Salary: €70k - 95k

About Us


At KI labs we design and build state of the art software and data products and solutions for the major brands of Germany and Europe. We aim to push the status quo of technology in corporations, with special focus areas of software, data and culture. Inside, we are a team of software developers, designers, product managers and data scientists, who are passionate about building the products of future today. We believe in open-source and independent teams, follow Agile practices, lean startup method and aim to share this culture with our clients. We are mainly located in Munich and recently Lisbon.


Your Responsibilities



  • Lead and manage a team of talented Data Engineers and Data Scientists in a diverse environment.

  • Ensure success of your team members and foster their career growth.

  • Ensure that the technology stacks, infrastructure, software architecture and development methods we use provide for an efficient project delivery and sustainable company growth.

  • Use your extensive practical expertise to help teams design, build and scale efficient and elegant data products on cloud computing platforms such as AWS, Azure, or Google Cloud Platform.

  • Enable and facilitate a data-driven culture for internal and external clients, and use advanced data pipelines to generate insights;


Skills and qualifications



  • Advanced degree in Computer Science, Engineering, Data Science, Applied Mathematics, Statistics or related fields;

  • Substantial practical experience in software and data engineering.

  • You are an authentic leader, keen on leading by example rather than by direct top-down management;

  • You are committed to operational excellence and to facilitating team communication and collaboration on a daily basis.

  • You like to see the big picture and you have a deep understanding of the building blocks of large-scale data architectures and pipelines.

  • You have passion for data, be it at crunching, transforming or visualising large data streams;

  • You have working knowledge of programming languages such as Python, Java, Scala, or Go

  • You have working knowledge of modern big data tooling and frameworks (Hadoop, Spark, Flink, Kafka, etc.), data storage systems, analytics tools, and ideally machine learning platforms.


Why work with us



  • You will have an opportunity to be at the frontline of innovation together with our prominent clients, influencing the car you drive in five years, the services you have on your flight, and the way you pay for your morning coffee.

  • Working closely with our leadership team, you will have a real chance to influence what our quickly growing company looks like in 3 years.

  • You get a challenging working environment located in the center of Munich and Lisbon and an ambitious team of individuals with unique backgrounds and expertise.

  • You get the chance to work on various interesting projects in short time frames; we do not do work on maintenance or linear projects.

  • We have an open-door work culture where ideas and initiatives are encouraged.

  • We offer a performance-based competitive salary.

Accenture
  • Detroit, MI
Position: Full time
Travel: 100% travel
Join Accenture Digital and leave your digital mark on the world, enhancing millions of lives through digital transformation. Where you can create the best customer experiences and be a catalyst for first-to-market digital products and solutions using machine-learning, AI, big data and analytics, cloud, mobility, robotics and the industrial internet of things. Your work will redefine the way entire industries work in every corner of the globe.
Youll be part of a team with incredible end-to-end digital transformation capabilities that shares your passion for digital technology and takes pride in making a tangible difference. If you want to contribute on an incredible array of the biggest and most complex projects in the digital space, consider a career with Accenture Digital.
Basic Qualifications
    • Bachelor's degree in Computer Science, Engineering, Technical Science or 3 years of IT/Programming experience.
    • Minimum 2+ years of expertise in designing, implementing large scale data pipelines for data curation and analysis, operating in production environments, using Spark, pySpark, SparkSQL, with Java, Scala or Python on premise or on Cloud (AWS, Google or Azure)
    • Minimum 1 year of designing and building performant data models at scale for using Hadoop, NoSQL, Graph or Cloud native data stores and services.
    • Minimum 1 year of designing and building secured Big Data ETL pipelines, using Talend or Informatica Big Data Editions; for data curation and analysis of large scale production deployed solutions.
    • Minimum 6 months of experience designing and building data models to support large scale BI, Analytics and AI solutions for Big Data.
Preferred Skills
    • Minimum 6 months of expertise in implementation with Databricks.
    • Experience in Machine learning using Python ( sklearn) ,SparkML , H2O and/or SageMaker.
    • Knowledge of Deep Learning (CNN, RNN, ANN) using TensorFlow.
    • Knowledge of Auto Machine Learning tools ( H2O, Datarobot, Google AutoML).
    • Minimum 2 years designing and implementing large scale data warehousing and analytics solutions working with RDBMS (e.g. Oracle, Teradata, DB2, Netezza,SAS) and understanding of the challenges and limitations of these traditional solutions.
    • Minimum 1 year of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale, Jethro and others.
    • Minimum 1 year of experience building data management (metadata, lineage, tracking etc.) and governance solutions for big data platforms on premise or on AWS, Google and Azure cloud.
    • Minimum 1 year of Re-architecting and rationalizing traditional data warehouses with Hadoop, Spark or NoSQL technologies on premise or transition to AWS, Google clouds.
    • Experience implementing data preparation technologies such as Paxata, Trifacta, Tamr for enabling self-service solutions.
    • Minimum 1 year of building Business Data Catalogs or Data Marketplaces on top of a Hybrid data platform containing Big Data technologies (e.g Alation, Informatica or custom portals).
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 .
Acxiom
  • Austin, TX
As a Senior Hadoop Administrator, you will assist leadership for projects related to Big Data technologies and software development support for client research projects. You will analyze the latest Big Data Analytic technologies and their innovative applications in both business intelligence analysis and new service offerings. You will bring these insights and best practices to Acxiom's Big Data Projects. You are able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them. You will develop highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You are also a self-starter able to continuously evaluate new technologies, innovate and deliver solutions for business critical applications


What you will do:


  • Responsible for implementation and ongoing administration of Hadoop infrastructure
  • Provide technical leadership and collaboration with engineering organization, develop key deliverables for Data Platform Strategy - Scalability, optimization, operations, availability, roadmap.
  • Lead the platform architecture and drive it to the next level of effectiveness to support current and future requirements
  • Cluster maintenance as well as creation and removal of nodes using tools like Cloudera Manager Enterprise, etc.
  • Performance tuning of Hadoop clusters and Hadoop MapReduce routines
  • Screen Hadoop cluster job performances and capacity planning
  • Help optimize and integrate new infrastructure via continuous integration methodologies (DevOps CHEF)
  • Lead and review Hadoop log files with the help of log management technologies (ELK)
  • Provide top-level technical help desk support for the application developers
  • Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality, availability and security
  • Collaborating with application teams to perform Hadoop updates, patches, version upgrades when required
  • Mentor Hadoop engineers and administrators
  • Work with vendor support teams on support tasks


Do you have?


  • Bachelor's degree in related field of study, or equivalent experience
  • 6+ years of Big Data Administration Experience
  • Extensive knowledge and Hands-on Experience of Hadoop based data manipulation/storage technologies like HDFS, MapReduce, Yarn, Spark/Kafka, HBASE, HIVE, Pig, Impala, R and Sentry/Ranger/Knox
  • Experience in capacity planning, cluster designing and deployment, troubleshooting and performance tuning
  • Experience supporting Data Science teams and Analytics teams on complex code deployment, debugging and performance optimization problems
  • Great operational expertise such as excellent troubleshooting skills, understanding of system's capacity, bottlenecks, core resource utilizations (CPU, OS, Storage, and Networks)
  • Experience in Hadoop cluster migrations or upgrades
  • Strong scripting skills in Perl, Python, shell scripting, and/or Ruby on Rails
  • Linux/SAN administration skills and RDBMS/ETL knowledge
  • Good Experience in Cloudera, HortonWorks, and/or MapR versions along with monitoring/alerting tools (Nagios, Ganglia, Zenoss, Cloudera Manager)
  • Strong problem solving and critical thinking skills
  • Excellent verbal and written communication skills


What will set you apart:


  • Solid understanding and hands-on experience of Big Data on private/public cloud technologies(AWS/GCP/Azure)
  • DevOps experience (CHEF, Puppet and Ansible)
  • Strong knowledge of JAVA/J2EE and other web technologies

 
TomTom
  • Amsterdam, Netherlands
At TomTom…

You’ll move the world forward. Every day, we create the most innovative mapping and location technologies to shape tomorrow’s mobility for the better.


We are proud to be one team of more than 5,000 unique, curious, passionate problem-solvers spread across the world. We bring out the best in each other. And together, we help the automotive industry, businesses, developers, drivers, citizens and cities move towards a safe, autonomous world that is free of congestion and emissions.

What you’ll do



  • Have a direct impact on our solutions for automated HD mapping, closely interacting with R&D engineers

  • Design, implement and extend our large-scale codebase in Python & TensorFlow, containing both prototyping and production code

  • Implement internal tools and services to make our machine learning solutions work in production



What you’ll need



  • Expert knowledge of Python

  • Hands-on experience with Cloud Computing (AWS, Azure), Microservices, Containers, CI/CD (Jenkins)

  • Experience with writing clean, elegant and maintainable production-level code

  • Ability to participate in the development and delivery cycle, from analysis, through implementation, to deployment and maintenance in production

  • Good understanding of mathematics, geometry, statistics, and software design principles



What’s nice to have



  • Experience with modern C++

  • Experience with deep learning frameworks, e.g., TensorFlow or PyTorch

  • High motivation for getting research products and prototypes into production

  • Being technically proactive, learning about new technologies, judging their value, and promoting their adoption when beneficial

  • Creative problem solver and team player; TomTom is a collaborative environment



Meet your team



We’re Autonomous Driving (AD). Our product unit develops, delivers and maintains products for advanced driver-assistance systems and automated driving – with the TomTom HD Map at the core of our work. Every day, we welcome new challenges, do world-class R&D and apply it using the latest machine learning and computer vision techniques. On our team, you’ll not only play a part in making autonomous driving a reality, you’ll transform the way people commute while boosting safety and comfort for everyone on the road.




Achieve more

We are self-starters who play well with others. Every day, we solve new problems with creativity, meet new people and learn rapidly at our offices around the world. We will invest in your growth and are committed to supporting you. In everything we do, we’re guided by six values: We care, putting our heart into what we do; we build trust (you can count on us); we create – driven to make a difference; we are confident, but don’t boast; we keep it simple, since life is complex enough; and we have fun because life’s too short to be boring. 

After you apply

Our recruitment team will work hard to give you a meaningful experience throughout the process, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews through your onboarding.

TomTom is an equal opportunity employer

We celebrate diversity, thrive on each other’s differences and are committed to creating an inclusive environment at our offices around the world. Naturally, we do not discriminate against any employee or job applicant because of race, religion, color, sexual orientation, gender, gender identity or expression, marital status, disability, national origin, genetics, or age.

Ready to move the world forward?

Accenture
  • Minneapolis, MN
Position: Full time
Travel: 100% travel
Join Accenture Digital and leave your digital mark on the world, enhancing millions of lives through digital transformation. Where you can create the best customer experiences and be a catalyst for first-to-market digital products and solutions using machine-learning, AI, big data and analytics, cloud, mobility, robotics and the industrial internet of things. Your work will redefine the way entire industries work in every corner of the globe.
Youll be part of a team with incredible end-to-end digital transformation capabilities that shares your passion for digital technology and takes pride in making a tangible difference. If you want to contribute on an incredible array of the biggest and most complex projects in the digital space, consider a career with Accenture Digital.
Basic Qualifications
    • Bachelor's degree in Computer Science, Engineering, Technical Science or 3 years of IT/Programming experience.
    • Minimum 2+ years of expertise in designing, implementing large scale data pipelines for data curation and analysis, operating in production environments, using Spark, pySpark, SparkSQL, with Java, Scala or Python on premise or on Cloud (AWS, Google or Azure)
    • Minimum 1 year of designing and building performant data models at scale for using Hadoop, NoSQL, Graph or Cloud native data stores and services.
    • Minimum 1 year of designing and building secured Big Data ETL pipelines, using Talend or Informatica Big Data Editions; for data curation and analysis of large scale production deployed solutions.
    • Minimum 6 months of experience designing and building data models to support large scale BI, Analytics and AI solutions for Big Data.
Preferred Skills
    • Minimum 6 months of expertise in implementation with Databricks.
    • Experience in Machine learning using Python ( sklearn) ,SparkML , H2O and/or SageMaker.
    • Knowledge of Deep Learning (CNN, RNN, ANN) using TensorFlow.
    • Knowledge of Auto Machine Learning tools ( H2O, Datarobot, Google AutoML).
    • Minimum 2 years designing and implementing large scale data warehousing and analytics solutions working with RDBMS (e.g. Oracle, Teradata, DB2, Netezza,SAS) and understanding of the challenges and limitations of these traditional solutions.
    • Minimum 1 year of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale, Jethro and others.
    • Minimum 1 year of experience building data management (metadata, lineage, tracking etc.) and governance solutions for big data platforms on premise or on AWS, Google and Azure cloud.
    • Minimum 1 year of Re-architecting and rationalizing traditional data warehouses with Hadoop, Spark or NoSQL technologies on premise or transition to AWS, Google clouds.
    • Experience implementing data preparation technologies such as Paxata, Trifacta, Tamr for enabling self-service solutions.
    • Minimum 1 year of building Business Data Catalogs or Data Marketplaces on top of a Hybrid data platform containing Big Data technologies (e.g Alation, Informatica or custom portals).
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
  • Atlanta, GA
Position: Full time
Travel: 100% travel
Join Accenture Digital and leave your digital mark on the world, enhancing millions of lives through digital transformation. Where you can create the best customer experiences and be a catalyst for first-to-market digital products and solutions using machine-learning, AI, big data and analytics, cloud, mobility, robotics and the industrial internet of things. Your work will redefine the way entire industries work in every corner of the globe.
Youll be part of a team with incredible end-to-end digital transformation capabilities that shares your passion for digital technology and takes pride in making a tangible difference. If you want to contribute on an incredible array of the biggest and most complex projects in the digital space, consider a career with Accenture Digital.
Basic Qualifications
    • Bachelor's degree in Computer Science, Engineering, Technical Science or 3 years of IT/Programming experience.
    • Minimum 2+ years of expertise in designing, implementing large scale data pipelines for data curation and analysis, operating in production environments, using Spark, pySpark, SparkSQL, with Java, Scala or Python on premise or on Cloud (AWS, Google or Azure)
    • Minimum 1 year of designing and building performant data models at scale for using Hadoop, NoSQL, Graph or Cloud native data stores and services.
    • Minimum 1 year of designing and building secured Big Data ETL pipelines, using Talend or Informatica Big Data Editions; for data curation and analysis of large scale production deployed solutions.
    • Minimum 6 months of experience designing and building data models to support large scale BI, Analytics and AI solutions for Big Data.
Preferred Skills
    • Minimum 6 months of expertise in implementation with Databricks.
    • Experience in Machine learning using Python ( sklearn) ,SparkML , H2O and/or SageMaker.
    • Knowledge of Deep Learning (CNN, RNN, ANN) using TensorFlow.
    • Knowledge of Auto Machine Learning tools ( H2O, Datarobot, Google AutoML).
    • Minimum 2 years designing and implementing large scale data warehousing and analytics solutions working with RDBMS (e.g. Oracle, Teradata, DB2, Netezza,SAS) and understanding of the challenges and limitations of these traditional solutions.
    • Minimum 1 year of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale, Jethro and others.
    • Minimum 1 year of experience building data management (metadata, lineage, tracking etc.) and governance solutions for big data platforms on premise or on AWS, Google and Azure cloud.
    • Minimum 1 year of Re-architecting and rationalizing traditional data warehouses with Hadoop, Spark or NoSQL technologies on premise or transition to AWS, Google clouds.
    • Experience implementing data preparation technologies such as Paxata, Trifacta, Tamr for enabling self-service solutions.
    • Minimum 1 year of building Business Data Catalogs or Data Marketplaces on top of a Hybrid data platform containing Big Data technologies (e.g Alation, Informatica or custom portals).
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
Position: Full time
Travel: 100% travel
Join Accenture Digital and leave your digital mark on the world, enhancing millions of lives through digital transformation. Where you can create the best customer experiences and be a catalyst for first-to-market digital products and solutions using machine-learning, AI, big data and analytics, cloud, mobility, robotics and the industrial internet of things. Your work will redefine the way entire industries work in every corner of the globe.
Youll be part of a team with incredible end-to-end digital transformation capabilities that shares your passion for digital technology and takes pride in making a tangible difference. If you want to contribute on an incredible array of the biggest and most complex projects in the digital space, consider a career with Accenture Digital.
Basic Qualifications
    • Bachelor's degree in Computer Science, Engineering, Technical Science or 3 years of IT/Programming experience.
    • Minimum 2+ years of expertise in designing, implementing large scale data pipelines for data curation and analysis, operating in production environments, using Spark, pySpark, SparkSQL, with Java, Scala or Python on premise or on Cloud (AWS, Google or Azure)
    • Minimum 1 year of designing and building performant data models at scale for using Hadoop, NoSQL, Graph or Cloud native data stores and services.
    • Minimum 1 year of designing and building secured Big Data ETL pipelines, using Talend or Informatica Big Data Editions; for data curation and analysis of large scale production deployed solutions.
    • Minimum 6 months of experience designing and building data models to support large scale BI, Analytics and AI solutions for Big Data.
Preferred Skills
    • Minimum 6 months of expertise in implementation with Databricks.
    • Experience in Machine learning using Python ( sklearn) ,SparkML , H2O and/or SageMaker.
    • Knowledge of Deep Learning (CNN, RNN, ANN) using TensorFlow.
    • Knowledge of Auto Machine Learning tools ( H2O, Datarobot, Google AutoML).
    • Minimum 2 years designing and implementing large scale data warehousing and analytics solutions working with RDBMS (e.g. Oracle, Teradata, DB2, Netezza,SAS) and understanding of the challenges and limitations of these traditional solutions.
    • Minimum 1 year of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale, Jethro and others.
    • Minimum 1 year of experience building data management (metadata, lineage, tracking etc.) and governance solutions for big data platforms on premise or on AWS, Google and Azure cloud.
    • Minimum 1 year of Re-architecting and rationalizing traditional data warehouses with Hadoop, Spark or NoSQL technologies on premise or transition to AWS, Google clouds.
    • Experience implementing data preparation technologies such as Paxata, Trifacta, Tamr for enabling self-service solutions.
    • Minimum 1 year of building Business Data Catalogs or Data Marketplaces on top of a Hybrid data platform containing Big Data technologies (e.g Alation, Informatica or custom portals).
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
  • San Diego, CA
Position: Full time
Travel: 100% travel
Join Accenture Digital and leave your digital mark on the world, enhancing millions of lives through digital transformation. Where you can create the best customer experiences and be a catalyst for first-to-market digital products and solutions using machine-learning, AI, big data and analytics, cloud, mobility, robotics and the industrial internet of things. Your work will redefine the way entire industries work in every corner of the globe.
Youll be part of a team with incredible end-to-end digital transformation capabilities that shares your passion for digital technology and takes pride in making a tangible difference. If you want to contribute on an incredible array of the biggest and most complex projects in the digital space, consider a career with Accenture Digital.
Basic Qualifications
    • Bachelor's degree in Computer Science, Engineering, Technical Science or 3 years of IT/Programming experience.
    • Minimum 2+ years of expertise in designing, implementing large scale data pipelines for data curation and analysis, operating in production environments, using Spark, pySpark, SparkSQL, with Java, Scala or Python on premise or on Cloud (AWS, Google or Azure)
    • Minimum 1 year of designing and building performant data models at scale for using Hadoop, NoSQL, Graph or Cloud native data stores and services.
    • Minimum 1 year of designing and building secured Big Data ETL pipelines, using Talend or Informatica Big Data Editions; for data curation and analysis of large scale production deployed solutions.
    • Minimum 6 months of experience designing and building data models to support large scale BI, Analytics and AI solutions for Big Data.
Preferred Skills
    • Minimum 6 months of expertise in implementation with Databricks.
    • Experience in Machine learning using Python ( sklearn) ,SparkML , H2O and/or SageMaker.
    • Knowledge of Deep Learning (CNN, RNN, ANN) using TensorFlow.
    • Knowledge of Auto Machine Learning tools ( H2O, Datarobot, Google AutoML).
    • Minimum 2 years designing and implementing large scale data warehousing and analytics solutions working with RDBMS (e.g. Oracle, Teradata, DB2, Netezza,SAS) and understanding of the challenges and limitations of these traditional solutions.
    • Minimum 1 year of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale, Jethro and others.
    • Minimum 1 year of experience building data management (metadata, lineage, tracking etc.) and governance solutions for big data platforms on premise or on AWS, Google and Azure cloud.
    • Minimum 1 year of Re-architecting and rationalizing traditional data warehouses with Hadoop, Spark or NoSQL technologies on premise or transition to AWS, Google clouds.
    • Experience implementing data preparation technologies such as Paxata, Trifacta, Tamr for enabling self-service solutions.
    • Minimum 1 year of building Business Data Catalogs or Data Marketplaces on top of a Hybrid data platform containing Big Data technologies (e.g Alation, Informatica or custom portals).
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 .
Elan Partners
  • Dallas, TX

Title: ETL Developer (Data Engineer)


The data engineer is someone who develops, constructs, tests and maintains architectures, such as databases and large-scale processing systems. Clean, transform, and organize data.

The data engineers will need to recommend and sometimes implement ways to improve data reliability, efficiency, and quality. Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to acquire new data from other systems and assist in further processing by other data engineers, scientists, analysts.

Ensure that the architecture that is in place supports the requirements of the data scientists and the stakeholders, and the business.


Responsibilities:

- Develop, construct, test and maintain architectures

- Ensure architecture will support the requirements of the business

- Discover opportunities for data acquisition

- Develop data set processes for data modeling, mining and production

-Employ a variety of languages and tools to marry systems together

- Recommend ways to improve data reliability, efficiency and quality

-Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling

Required Skills: -5+ years Data Engineering/ETL Development
-Experience with Snaplogic and/or Mulesoft strongly desired
-Experience with traditional ETL tools such as SSIS, Informatica and/or DataStage
-Programming and/or Scripting experience with Python, Spark, etc.
-Exposure to Cloud (AWS and/or Azure)
-Experience with other technologies such as MDM, PowerBI, Microservices,
 Snowflake, and Big Data Tool sets highly desired

Benefits of working for our Client:
-Excellent benefits
-Bonus program
-Collaborative, friendly work environment!

LPL Financial
  • San Diego, CA

As a Development Manager for Digital Experience Technology, responsible for strategy, analysis, design and implementation of modern, scalable, cloud native digital and artificial intelligence solutions. This role primarily will lead Intelligent Content Delivery program with focus on improving content search engine, implementing personalization engine and AI driven content ranking engine to deliver relevant and personalized intelligent content across Web, Mobile and AI Chat channels.  This role requires a successful and experienced digital, data and artificial intelligence practitioner, able to lead discussions with business and technology partners to identify business problems and delivering breakthrough solutions.

The successful candidate will have excellent verbal and written communication skills along with a demonstrated ability to mentor and manage a digital team. You must possess a unique blend of business and technical savvy; a big-picture vision, and the drive to make a vision a reality.


Key Responsibilities:
 

·       Define innovative Digital Content, AI and Automation offerings solving business problems with inputs from customers, business and product teams

·       Partner with business, product and technology teams to define problems, develop business case, build prototypes and create new offerings.

·       Evangelize and promote Cloud based micro-services architecture and Digital Technology capabilities adoption across organization

·       Lead and own technical design and development aspects of knowledge graphs, search engines, personalization engine and intelligent content engine platforms by applying digital technologies, machine learning and deep learning frameworks

·       Responsible for research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems

·       Manage onsite and offshore development teams implementing products and platforms in Agile

·       Collaborate with business, product , enterprise architecture and cross-functional teams to ensure strategic and tactical goals of project efforts are met

·       Work collaboratively with QA, DevOPS teams to adopt CI/CD tool chain and develop automation

·       Work with technical teams to ensure overall support and stability of platforms and assist with troubleshooting when production incidents arise

·       Be a mentor and leader on the team and within the organization



Basic Qualifications:

·       Overall 10+ years of experience, with 6+ years of development experience in implementing Digital and Artificial Intelligence (NPU-NLP-ML) platforms.

·       Solid working experience of Python, R and knowledge graphs

·       Expertise in any one AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensor flow)

·       Experience with platforms Cloud Platforms and products including Amazon AWS, LEX Bots, Lambda , Microsoft Azure or similar cloud technologies

·       Solid working experience of implementing Solr search engine, SQL, Elastic Search,  Neo4J

·       Experience in data analysis , modelling, reporting using Power BI / similar tools

·       Experience with Enterprise Content Management systems like Adobe AEM / Any Enterprise CMS

·       Experience in implementing knowledge graphs using Schema.org, Facebook Open graph, Google AMP pages is added advantage

·       Excellent collaboration and negotiation skills

·       Results driven with a positive can do attitude

·       Experience in implementing Intelligent Automation tools like Work fusion , UIPath / Automation Anywhere is added advantage

Qualifications:

·       Ms or Ph.D degree in Computer Science / Statistics / Mathematics / Data Science / Any

·       Previous industry experience or research experience in solving business problems applying machine learning and deep learning algorithms

·       Must be hands on technologist with prior experience in similar role

·       Good experience in practicing and executing projects in Agile Scrum or Agile Safe iterative methodologies

Brighter Brain
  • Atlanta, GA

Brighter Brain is seeking a skilled professional to serve as an internal resource for our consulting firm in the field of Data Science Development. Brighter Brain provides Fortune 500 clients throughout the United States with IT consultants in a wide-ranging technical sphere.

In order to fully maintain our incoming nationwide and international hires, we will be hiring a Senior Data Science SME (ML) with practical experience to relocate to Atlanta and coach/mentor our incoming classes of consultants. If you have a strong passion for the Data Science platform and are looking to join a seasoned team of IT professionals, this could be an advantageous next step.

Brighter Brain is an IT Management & Consultingfirm providing a unique take on IT Consulting. We currently offer expertise to US clients in the field of Mobile Development (iOS and Android), Hadoop, Microsoft SharePoint, and Exchange/ Office 365. We are currently seeking a highly skilled professional to serve as an internal resource for our company in the field of Data Science with expertise in Machine Learning (ML)

The ideal candidatewill be responsible for establishing our Data Science practice. The responsibilities include creation of a comprehensive training program, training, mentoring, and supporting ideal candidates, as they progress towards building their career in Data Science Consulting. This position is based out of our head office in Atlanta, GA.

If you have a strong passion for Data Science and are looking to join a seasoned team of IT professionals, this could be an advantageous next step.

The Senior Data Science SMEwill take on the following responsibilities:

-       Design, develop and maintain Data Science training material, focused around: ML Knowledge of DL, NN & NLP is a plus.

-       Interview potential candidates to ensure that they will be successful in the Data Science domain and training.

-       Train, guide and mentor junior to mid-level Data Science developers.

-       Prepare mock interviews to enhance the learning process provided by the company.

-       Prepare and support consultants for interviews for specific assignments involving development and implementation of Data Science.

-       Act as a primary resource for individuals working on a variety of projects throughout the US.

-       Interact with our Executive and Sales team to ensure that projects and employees are appropriately matched.

The ideal candidatewill not only possess a solid knowledge of the realm, but must also have the fluency in the following areas:

-       Hands-on expertise in using Data Science and building machine learning models and Deep learning models

-       Statistics and data modeling experience

-       Strong understanding of data sciences

-       Understanding of Big Data

-       Understanding of AWS and/or Azure

-       Understand the difference between Tensorflow, MxNet, etc

Skills Include:

  • Masters Degree in the Computer Science or mathematics fields

    10+ Years of professional experience in the IT Industry, in the AI realm

  • Strong understanding of MongoDB, Scala, Node.js, AWS, & Cognitive applications
  • Excellent knowledge in Python, Scala, JavaScript and its libraries, Node.js, Python, R and MatLab C/C++ Lua or any proficient AI language of choice
  • NoSQL databases, bot framework, data streaming and integrating unstructured Data Rules engines e.g. drools, ESBs e.g. MuleSoft Computer
  • Vision,Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence, Neural Networks
  • Deep Learning frameworks like Tensorflow, Torch, Caffee, Theano, CNTK, cikit-
  • learn, numpy, scipy
  • Working knowledge of ML such as: Naïve Bayes Classification, Ordinary Least
  • Square
  • Regression, Logic Regression, Supportive Vector Machines, Ensemble Methods,
  • Clustering
  • Algorithms, Principal Component Analysis, Singular Value Decomposition, and
  • Independent Component Analysis.  
  • Natural Language Processing (NLP) concepts such as topic modeling, intents,
  • entities, and NLP frameworks such as SpaCy, NLTK, MeTA, gensim or other
  • toolkits for Natural Language Understanding (NLU)
  • Experience data profiling, data cleansing, data wrangling/mungline, ETL
  • Familiarity with Spark MLlib, Mahout Google, Bing, and IBM Watson APIs
  • Hands on experience as needed with training a variety of consultants
  • Analytical and problem-solving skills
  • Knowledge of IOT space
  • Understand Academic Data Science vs Corporate Data Science
  • Knowledge of the Consulting/Sales structure

Additional details about the position:

-       Able to relocate to Atlanta, Ga (Relocation package available)

-       Work schedule of 9 AM to 6 PM EST

Questions: Send your resume to Ansel Butler at Brighter Brain; make sure that there is a valid phone number and Skype ID either on the resume, or in the body of the email.

Ansel Essic Butler

EMAIL: ANSEL.BUTLER@BRIGHTERBRAIN.COM

404 791 5128

SKYPE: ANSEL.BUTLER@OUTLOOK.COM

Senior Corporate Recruiter

Brighter Brain LLC.

1785 The Exchange, Suite 200

Atlanta, GA. 30339

Catapult Systems
  • Houston, TX

High performing team members. Challenging projects. A stable and profitable company. And a great place to work! This is what you can expect if you join the Catapult Systems team. Founded in 1993 and headquartered in Austin, Texas, Catapult is an award winning Microsoft National Solution Provider and was recently named the Microsoft Partner of the Year (U.S.) and Microsoft Partner of the Year Finalist in Cloud Productivity.


What do we attribute our award-winning success to? The people we hire, of course! We provide you the tools and leadership that you need to be successful, and then let you do what you do best. We enable you to make the decisions that you feel are in the best interest of our clients, and we trust your judgment. This type of ownership and independence, and an ongoing commitment to solving real business problems through the innovative use of Microsoft technologies, has resulted in Catapult being voted one of the best places to work year after year!


It is a very exciting time of growth for Catapult Systems, and we are currently hiring a Data Analytics Developer to provide technical leadership for our expanding team.

What will my role be?


As a Data Analytics Developer you will work with customers to identify opportunities and scenarios where Power BI and Azure Data Services can benefit their business. You will deliver short and long term projects utilizing strong business, technical and data modeling skills.

Responsibilities will include:

    • Working with customers to analyze business requirements and define functional specifications
    • Facilitating client meetings and strategy sessions
    • Providing pre-sales technical support by attending sales calls and creating demos for customers
    • Support and implementation of Data Analytics projects

Whats required?

    • First and foremost, you should enjoy what you do and enjoy working in teams!
    • Ability to engage in customer settings and discern client business needs
    • Strong working knowledge and track record of Data Analytics development
    • 5+ years of experience sourcing, star schema & relational data modeling, ETL and processing
    • Expert level knowledge around SSIS, SSAS, SSRS, PowerBI and tools such as SSMS and SSDT
    • Experience supporting large scale analytical platforms
    • Experience designing automated processing, data validation, error checks and alerts, and performance testing techniques
    • Experience working with SQL Azure and cloud data solutions
    • 5+ years of experience with Microsoft SQL Server and proficiency in T-SQL
    • 1+ years of experience in migrating from on-prem to cloud (PaaS or IaaS)
    • Excellent presentation, verbal and written communication, and time management skills
    • Ability to travel up to 25%

What else would make me stand out?

    • Previous consulting experience
    • Knowledge of database optimization techniques
    • Experience with Python and/or R
    • Proficiency in MDX and/or DAX queries
    • Experience with Microsoft Office 365 and cloud data solutions
    • Reporting experience with SharePoint and CRM
    • Relevant Microsoft Certifications and Non-Microsoft data platform certifications
    • Ability to work with cloud and hybrid environments
    • Good understanding of statistics
    • Knowledge in government analytics and policy objectives
    • Experience working with Big Data technologies and NoSQL
    • Multidimensional and Tabular Cube design, development, performance tuning and troubleshooting
    • Experience working with Data Visualization, Auditing, Data Validation, and Data Mining

 So what are you waiting for?? If you are passionate about being a leader and want to work with smart people that are committed to accomplishing great things, then apply today!

Catapult offers an outstanding benefits package including 401(k) match, paid time off, flex spending accounts, identity theft protection, and medical, dental, and life insurance just to name a few.

Catapult was recently named a Texas Monthly magazine Best Place to Work!