OnlyDataJobs.com

Limelight Networks
  • Phoenix, AZ

Job Purpose:

The Sr. Data Services Engineer assists in maintaining the operational aspects of Limelight Networks platforms, provides guidance to the Operations group and acts as an escalation point for advanced troubleshooting of systems issues. The Sr. Data Services Engineer assists in the execution of tactical and strategic operational infrastructure initiatives by building and managing complex computing systems and processes that facilitate the introduction of new products and services while allowing existing services to scale.


Qualifications: Experience and Education (minimums)

  • Bachelors Degree or equivalent experience.
  • 2+ years experience working with MySQL (or other relational databases: Mongo DB, Cassandra, Hadoop, etc.) in a large-scale enterprise environment.
  • 2+ years Linux Systems Administration experience.
  • 2+ years Version Control and Shell scripting and one or more scripting languages including Python, Perl, Ruby and PHP.
  • 2+ Configuration Management Systems, using Puppet, Chef or SALT.
  • Experienced w/MySQL HA/Clustering solutions; Corosync, Pacemaker and DRBD preferred.
  • Experience supporting open-source messaging solutions such as RabbitMQ or ActiveMQ preferred.

Knowledge, Skills & Abilities

  • Collaborative in a fast-paced environment while providing exceptional visibility to management and end-toend ownership of incidents, projects and tasks.
  • Ability to implement and maintain complex datastores.
  • Knowledge of configuration management and release engineering processes and methodologies.
  • Excellent coordination, planning and written and verbal communication skills.
  • Knowledge of the Agile project management methodologies preferred.
  • Knowledge of a NoSQL/Big Data platform; Hadoop, MongoDB or Cassandra preferred.
  • Ability to participate in a 24/7 on call rotation.
  • Ability to travel when necessary.

Essential Functions:

  • Develop and maintain core competencies of the team in accordance with applicable architectures and standards.
  • Participate in capacity management of services and systems.
  • Maintain plans, processes and procedures necessary for the proper deployment and operation of systems and services.
  • Identify gaps in the operation of products and services and drive enhancements.
  • Evaluate release processes and tools to find areas for improvement.
  • Contribute to the release and change management process by collaborating with the developers and other Engineering groups.
  • Participate in development meetings and implement required changes to the operational architecture, standards, processes or procedures and ensure they are in place prior to release (e.g., monitoring, documentation and metrics).
  • Maintain a positive demeanor and a high level of professionalism at all times.
  • Implement proactive monitoring capabilities that ensure minimal disruption to the user community including: early failure detection mechanisms, log monitoring, session tracing and data capture to aid in the troubleshooting process.
  • Implement HA and DR capabilities to support business requirements.
  • Troubleshoot and investigate database related issues.
  • Maintain migration plans and data refresh mechanisms to keep environments current and in sync with production.
  • Implement backup and recovery procedures utilizing various methods to provide flexible data recovery capabilities.
  • Work with management and security team to assist in implementing and enforcing security policies.
  • Create and manage user and security profiles ensuring application security policies and procedures are followed.

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

Man AHL
  • London, UK

The Role


As a Quant Platform Developer at AHL you will be building the tools, frameworks, libraries and applications which power our Quantitative Research and Systematic Trading. This includes responsibility for the continued success of “Raptor”, our in-house Quant Platform, next generation Data Engineering, and evolution of our production Trading System as we continually expand the markets and types of assets we trade, and the styles in which we trade them. Your challenges will be varied and might involve building new high performance data acquisition and processing pipelines, cluster-computing solutions, numerical algorithms, position management systems, visualisation and reporting tools, operational user interfaces, continuous build systems and other developer productivity tools.


The Team


Quant Platform Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.



Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.


Our Technology


Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle.



We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries.


Working Here


AHL has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community.



  • We host and sponsor London’s PyData and Machine Learning Meetups

  • We open-source some of our technology. See https://github.com/manahl

  • We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manahltech



We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work.



  • We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches

  • We have annual away days and off-sites for the whole team

  • We have a canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening

  • As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano.



We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.


Technology and Business Skills


At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.



Essential



  • Exceptional technology skills; recognised by your peers as an expert in your domain

  • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches

  • Expert knowledge in one or more programming languages, preferably Python, Java and/or C/C++

  • Proficient on Linux platforms with knowledge of various scripting languages

  • Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB

  • Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React

  • Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns.



Advantageous



  • An excellent understanding of financial markets and instruments

  • Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank

  • Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing

  • A knowledge of modern practices for data engineering and stream processing

  • An understanding of financial market data collection and processing

  • Experience of web based development and visualisation technology for portraying large and complex data sets and relationships

  • Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.


Personal Attributes



  • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university

  • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others

  • Demonstrable passion for technology e.g. personal projects, open-source involvement

  • Intellectually robust with a keenly analytic approach to problem solving

  • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities

  • Focused on delivering value to the business with relentless efforts to improve process

  • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike

  • Confident communicator; able to argue a point concisely and deal positively with conflicting views.

Comcast
  • Philadelphia, PA

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

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

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

Responsibilities:

-Develop and support data pipelines

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

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

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

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

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

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

-Support DevOps practices to deploy and operate our systems

-Automate and streamline our operations and processes

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

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

-Spark Core and Spark Streaming

-Machine learning techniques and algorithms

-Java, Scala, Python, R

-Artificial Intelligence

-AWS services including EMR, S3, Lambda, ElasticSearch

-Predictive Analytics

-Tableau, Kibana

-Git, Maven, Jenkins

-Linux

-Kafka

-Hadoop (HDFS, YARN)

Skills & Requirements:

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

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

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

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

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

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

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

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

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

-Proficient in Unix/Linux environments

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

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

-Team player is a must

-Great design and problem-solving skills

-Adaptable, proactive and willing to take ownership

-Attention to detail and high level of commitment

-Thrives in a fast-paced agile environment

About Comcastdx:

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

Comcast is an EOE/Veterans/Disabled/LGBT employer

Comcast
  • Philadelphia, PA

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

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

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

Responsibilities:

-Develop and support data pipelines

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

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

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

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

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

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

-Support DevOps practices to deploy and operate our systems

-Automate and streamline our operations and processes

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

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

-Spark Core and Spark Streaming

-Machine learning techniques and algorithms

-Java, Scala, Python, R

-Artificial Intelligence

-AWS services including EMR, S3, Lambda, ElasticSearch

-Predictive Analytics

-Tableau, Kibana

-Git, Maven, Jenkins

-Linux

-Kafka

-Hadoop (HDFS, YARN)

Skills & Requirements:

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

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

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

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

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

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

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

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

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

-Proficient in Unix/Linux environments

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

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

-Team player is a must

-Great design and problem-solving skills

-Adaptable, proactive and willing to take ownership

-Attention to detail and high level of commitment

-Thrives in a fast-paced agile environment

About Comcastdx:

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

Comcast is an EOE/Veterans/Disabled/LGBT employer

118118Money
  • Austin, TX

Seeking an individual with a keen eye for good design combined with the ability to communicate those designs through informative design artifacts. Candidates should be familiar with an Agile development process (and understand its limitations), able to mediate between product / business needs and developer architectural needs. They should be ready to get their hands dirty coding complex pieces of the overall architecture.

We are .NET Core on the backend, Angular 2 on a mobile web front-end, and native on Android and iOS. We host our code across AWS and on-premises VMs, and use various data backends (SQL Server, Oracle, Mongo).

Very important is interest in (and hopefully, experience with) modern big data pipelines and machine learning. Experience with streaming platforms feeding Apache Spark jobs that train machine learning models would be music to our ears. Financial platforms generate massive amounts of data, and re-architecting aspects of our microservices to support that will be a key responsibility.

118118 Money is a private financial services company with R&D headquartered in Austin along highway 360, in front of the Bull Creek Nature preserve. We have offices around the world, so the candidate should be open to occasional travel abroad. The atmosphere is casual, and has a startup feel. You will see your software creations deployed quickly.

Responsibilities

    • Help us to build a big data pipeline and add machine learning capability to more areas of our platform.
    • Manage code from development through deployment, including support and maintenance.
    • Perform code reviews, assist and coach more junior developers to adhere to proper design patterns.
    • Build fault-tolerant distributed systems.

Requirements

    • Expertise in .NET, C#, HTML5, CSS3, Javascript
    • Experience with some flavor of ASP.NET MVC
    • Experience with SQL Server
    • Expertise in the design of elegant and intuitive REST APIs.
    • Cloud development experience (Amazon, Azure, etc)
    • Keen understanding of security principles as they pertain to service design.
    • Expertise in object-oriented design principles.

Desired

    • Machine Learning experience
    • Mobile development experience
    • Kafka / message streaming experience
    • Apache Spark experience
    • Knowledge of the ins and outs of Docker containers
    • Experience with MongoDB
Ventula Consulting
  • Northampton, UK
  • Salary: £70k - 75k

Lead Software Engineer – Java – Global Bank – Machine Learning / Big Data, to £75k + Exceptional Package


Lead Software Engineer with a strong background in Java development required to join a new innovation focused team working on greenfield projects.


My client is working on a number of cutting edge Machine Learning and AI solutions which are set to revolutionise fraud detection and prevention so this is a great opportunity to make a real impact on the future of Banking technology.


This role would suit a highly ambitious Software Developer who is looking for a genuine challenge.


You will be joining a newly established innovation team within the Bank which consists of highly skilled technical individuals and industry thought leaders.


There is a very real opportunity for rapid career progression into both technical and management focused roles due to the high profile nature of this function.


The ideal Lead Software Engineer will have the following experience:



  • Expert in Java software Development – Java 8 or later versions

  • Experience developing Business Critical systems with low latency performance

  • Development background creating solutions using AWS

  • Any experience in Big Data, MongoDB, Spark, MySQL and React / Node would be nice to have although not a necessity


This role will be based in Northampton and offers a package of between £70-£75k + an exceptional package including Bonus, strong pension, private healthcare and a host of other benefits.

Arcadis
  • Atlanta, GA

Arcadis is seeking a Director of Advanced Analytics to join our North America Digital Team.


The Director of Advanced Analytics (North America) is responsible for the development and implementation of a strategy centered around elevating our current analytics capabilities, identifying use cases within our current business, and identifying new business opportunities anchored around analytics. Together with the core/extended Arcadis Digital team(s) he/she will drive digital change within the organization which includes frequently interacting with Arcadians at all levels from the executive leadership, project managers, and entry level employees in addition to clients by providing technical expertise, guidance, and hands-on support on data processing, analytical models, and visualization techniques.

Key Responsibilities:

Develop capabilities in analytics phases
 

  • Evaluate our existing analytics capabilities and develop a strategy for Analytics in North America, that will create value for our employees, clients, and partners.
  • Develop Arcadiss capabilities in descriptive, predictive, and prescriptive analytics
  • Leading the development of required analytics skills in North America - by a combination of recruiting and training
  • Train our colleagues valuable technical skills on-the-job, which can include data processing, coding models in R, Python, BaysiaLab, etc, creating powerful visualizations and interfaces (e.g. using RShiny or Tableau), and developing the data infrastructure needed


Analytics as a value add to projects
 

  • Advise in the implementation of analytics and data life cycle on projects/programs
  • Capture the resulting insights from the data life cycle
  • Communicate the value of using analytics instead of the traditional way of working
  • Identify where analytics can be used as a differentiator
  • Scope out analytics services and develop monetization strategies
  • Develop powerful use cases, in close collaboration with market leaders and external partners


Advise clients on their analytics journey
 

  • Advising clients on data governance/management
  • Identify new business opportunities with existing and potential clients
  • Participation in design thinking/client visioning workshops


Evangelist/Leader for analytics
 

  • Empower our colleagues to implement analytics on their projects
  • Communicate complex ideas in a simple way using story telling
  • Inspire our colleagues to innovate and adopt of analytics


Develop strategy for analytics on overall business/bring in best practices in analytics
 

  • Integrate yourself within the existing business to evaluate where analytics can be strategically be implemented.
  • Collaborate closely with / support the Chief Digital Officer, North America with taking the lead and providing technical expertise within Analytics
  • Collaborate closely with / support the Global CDO / Analytics team by supporting the development of a global Analytics roadmap and data strategy
  • Participating in regular exchanges with other digital / analytics leaders in other regions


Leadership Requirements
 

  • Proven leadership capabilities
  • Ability to work cross-functionally with all levels of management, both internally and externally.
  • Ability to inspire clients and potential partners with new ideas and discipline combined with pragmatism to implement them rapidly;
  • Ability to develop a plan and approach to strategic problems - communicating and mobilizing teams to deliver against the plan;
  • The ideal candidate: Talented, passionate and high energy leader with a blend of technology/digital savviness and built & natural asset industry knowledge.


Key Requirements
 

  • Deep knowledge and expertise in analytics, including expert knowledge of the common software applications, such as R, Python or database management tools, such as SQL or MongoDB.
  • Complete understanding of cloud technologies
  • Complete understand of data lake implementation and other data governance practices
  • Knowledge of design thinking and client visioning workshops
  • Experience in agile project management and product development


Key Attributes
 

  • Knowledge of best practices in analytics across the industry
  • Broad and strategic perspective on the current and future global technology landscape
  • Credible counterpart for existing or potential partners with strong business acumen combined with solid technical skills;
  • Self-starter, high energy, can work independently and remotely and comfortable with ambiguity;
  • Communication and relationship skills, ability to engage with a broad range of international stakeholders;
  • Ability to work in a global matrix organization and to deal with different cultures worldwide;
  • Proactive, practical, entrepreneurial, open-minded, flexible and creative;
  • Excellent command of English, both spoken and written.
  • Given the international spread of the business a certain level of flexibility in working hours is important.
  • 7+ years of professional experience with an impressive track record in Analytics and bringing data-driven initiatives to success, ideally at the intersection of natural & built assets and analytics/digital


Required Qualifications

  • Masters Degree (preferably in Business Analytics, Data Science or Computer Science) preferred.
  • 10+ years of professional experience with an impressive track record in Analytics


Preferred Qualifications

  • MA/MS/MBA degree from a top-tier university / research institution
Accenture
  • San Diego, CA
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.
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 highly collaborative and growing network of technology and data experts, who are 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. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
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.
Business & Technology Integration professionals advise upon, design, develop and/or deliver technology solutions that support best practice business changes
The Bus&Industry Integration Assoc Mgr aligning technology with business strategy and goals they working directly with the client gathering requirements to analyze, design and/or implement technology best practice business changes. They are sought out as experts internally and externally for their deep functional or industry expertise, domain knowledge, or offering expertise. They enhance Accenture's marketplace reputation.
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.
Data Management professionals define strategies and develop/deliver solutions and processes for managing enterprise-wide data throughout the data lifecycle from capture to processing to usage across all layers of the application architecture.
A professional at this position level within Accenture has the following responsibilities:
Identifies, assesses and solves complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors.
Closely follows the strategic direction set by senior management when establishing near term goals.
Interacts with senior management at a client and/or within Accentureon matters where they may need to gain acceptance on an alternate approach.
Has some latitude in decision-making. Acts independently to determine methods and procedures on new assignments.
Decisions have a major day to day impact on area of responsibility.
Manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum of 3 plus years of hands-on technical experience implementing Big Data solutions utilizing Hadoop or other Data Science and Analytics platforms.
    • Minimum of 3 plus years of experience with a full life cycle development from functional design to deployment
    • Minimum 2 plus years of hands-on technical experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Minimum 3 plus years of hands-on technical experience in developing solutions utilizing at least two of the following:
    • Kafka based streaming services
    • R Studio
    • Cassandra , MongoDB
    • MapReduce, Pig, Hive
    • Scala, Spark
    • knowledge on Jenkins, Chef, Puppet
  • Bachelor's degree or equivalent years of work experience
  • Ability to travel 100%, Monday- Thursday
Professional Skill Requirements
    • Proven ability to build, manage and foster 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
    • Excellent leadership and management skills
All of 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.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a federal contractor and 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
  • Atlanta, GA
Are you ready to step up to the New and take your technology expertise to the next level?
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 highly collaborative and growing network of technology and data experts, who are 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. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
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.
As part of our Advanced Technology & Architecture (AT&A) practice, 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 experts who are highly collaborative taking on todays biggest, most complex business challenges. 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.
    • Produce clean, standards based, modern code with an emphasis on advocacy toward end-users to produce high quality software designs that are well-documented.
    • Demonstrate an understanding of technology and digital frameworks in the context of data integration.
    • Ensure code and design quality through the execution of test plans and assist in development of standards, methodology and repeatable processes, working closely with internal and external design, business, and technical counterparts.
Big Data professionals develop deep next generation Analytics skills to support Accenture's data and analytics agendas, including skills such as Data Modeling, Business Intelligence, and Data Management.
A professional at this position level within Accenture has the following responsibilities:
    • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary.
    • Primary upward interaction is with direct supervisor.
    • May interact with peers, client counterparts and/or management levels within Accenture.
    • Understands methods and procedures on new assignments and executes deliverables with guidance as needed.
    • May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance .
    • Decisions often impact the team in which they reside.
    • Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum 2 plus years of hands-on technical experience implementing or supporting Big Data solutions utilizing Hadoop.
      Expe
    • rience developing solutions utilizing at least two of the following: Kaf
        k
      • a based streaming services
      • R Studio
      • Cassandra, MongoDB
      • MapReduce, Pig, Hive
      • Scala, Spark
      • Knowledge on Jenkins, Chef, Puppet
Preferred Qualifications
    • Hands-on technical experience utilizing Python
    • Full life cycle development experience
    • Experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Ability to configure and support API and OpenSource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Experience with DevOps support
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
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 a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Raleigh, NC
Are you ready to step up to the New and take your technology expertise to the next level?
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 highly collaborative and growing network of technology and data experts, who are 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. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
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.
As part of our Advanced Technology & Architecture (AT&A) practice, 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 experts who are highly collaborative taking on todays biggest, most complex business challenges. 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.
    • Produce clean, standards based, modern code with an emphasis on advocacy toward end-users to produce high quality software designs that are well-documented.
    • Demonstrate an understanding of technology and digital frameworks in the context of data integration.
    • Ensure code and design quality through the execution of test plans and assist in development of standards, methodology and repeatable processes, working closely with internal and external design, business, and technical counterparts.
Big Data professionals develop deep next generation Analytics skills to support Accenture's data and analytics agendas, including skills such as Data Modeling, Business Intelligence, and Data Management.
A professional at this position level within Accenture has the following responsibilities:
    • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary.
    • Primary upward interaction is with direct supervisor.
    • May interact with peers, client counterparts and/or management levels within Accenture.
    • Understands methods and procedures on new assignments and executes deliverables with guidance as needed.
    • May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance .
    • Decisions often impact the team in which they reside.
    • Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum 2 plus years of hands-on technical experience implementing or supporting Big Data solutions utilizing Hadoop.
      Expe
    • rience developing solutions utilizing at least two of the following: Kaf
        k
      • a based streaming services
      • R Studio
      • Cassandra, MongoDB
      • MapReduce, Pig, Hive
      • Scala, Spark
      • Knowledge on Jenkins, Chef, Puppet
Preferred Qualifications
    • Hands-on technical experience utilizing Python
    • Full life cycle development experience
    • Experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Ability to configure and support API and OpenSource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Experience with DevOps support
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
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 a Federal Contractor and 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.
Comcast
  • Englewood, CO

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

Job Summary:

Software engineering skills combined with the demands of a high volume, highly-visible analytics platform make this an exciting challenge for the right candidate.

Are you passionate about digital media, entertainment, and software services? Do you like big challenges and working within a highly motivated team environment?

As a software engineer in the Data Experience (DX) team, you will research, develop, support, and deploy solutions in real-time distributing computing architectures. The DX big data team is a fast-moving team of world-class experts who are innovating in providing user-driven, self-service tools for making sense and making decisions with high volumes of data. We are a team that thrives on big challenges, results, quality, and agility.

Who does the data engineer work with?

Big Data software engineering is a diverse collection of professionals who work with a variety of teams ranging from other software engineering teams whose software integrates with analytics services, service delivery engineers who provide support for our product, testers, operational stakeholders with all manner of information needs, and executives who rely on big data for data backed decisioning.

What are some interesting problems you'll be working on?

Develop systems capable of processing millions of events per second and multi-billions of events per day, providing both a real-time and historical view into the operation of our wide-array of systems. Design collection and enrichment system components for quality, timeliness, scale and reliability. Work on high-performance real-time data stores and a massive historical data store using best-of-breed and industry-leading technology.

Where can you make an impact?

Comcast DX is building the core components needed to drive the next generation of data platforms and data processing capability. Running this infrastructure, identifying trouble spots, and optimizing the overall user experience is a challenge that can only be met with a robust big data architecture capable of providing insights that would otherwise be drowned in an ocean of data.

Success in this role is best enabled by a broad mix of skills and interests ranging from traditional distributed systems software engineering prowess to the multidisciplinary field of data science.

Responsibilities:

  • Develop solutions to big data problems utilizing common tools found in the ecosystem.
  • Develop solutions to real-time and offline event collecting from various systems.
  • Develop, maintain, and perform analysis within a real-time architecture supporting large amounts of data from various sources.
  • Analyze massive amounts of data and help drive prototype ideas for new tools and products.
  • Design, build and support APIs and services that are exposed to other internal teams
  • Employ rigorous continuous delivery practices managed under an agile software development approach
  • Ensure a quality transition to production and solid production operation of the software

Skills & Requirements:

  • 5+ years programming experience
  • Bachelors or Masters in Computer Science, Statistics or related discipline
  • Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem.
  • Experience working on big data platforms in the cloud or on traditional Hadoop platforms
  • AWS Core
  • Kinesis
  • IAM
  • S3/Glacier
  • Glue
  • DynamoDB
  • SQS
  • Step Functions
  • Lambda
  • API Gateway
  • Cognito
  • EMR
  • RDS/Auora
  • CloudFormation
  • CloudWatch
  • Languages
  • Python
  • Scala/Java
  • Spark
  • Batch, Streaming, ML
  • Performance tuning at scale
  • Hadoop
  • Hive
  • HiveQL
  • YARN
  • Pig
  • Scoop
  • Ranger
  • Real-time Streaming
  • Kafka
  • Kinesis
  • Data File Formats:
  • Avro, Parquet, JSON, ORC, CSV, XML
  • NoSQL / SQL
  • Microservice development
  • RESTful API development
  • CI/CD pipelines
  • Jenkins / GoCD
  • AWS
    • CodeCommit
    • CodeBuild
    • CodeDeploy
    • CodePipeline
  • Containers
  • Docker / Kubernetes
  • AWS
    • Lambda
    • Fargate
    • EKS
  • Analytics
  • Presto / Athena
  • QuickSight
  • Tableau
  • Test-driven development/test automation, continuous integration, and deployment automation
  • Enjoy working with data data analysis, data quality, reporting, and visualization
  • Good communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly.
  • Great design and problem solving skills, with a strong bias for architecting at scale.
  • Adaptable, proactive and willing to take ownership.
  • Keen attention to detail and high level of commitment.
  • Good understanding in any: advanced mathematics, statistics, and probability.
  • Experience working in agile/iterative development and delivery environments. Comfort in working in such an environment. Requirements change quickly and our team needs to constantly adapt to moving targets.

About Comcast DX (Data Experience):

Data Experience(DX) is a results-driven, data platform research and engineering team responsible for the delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization. The mission of DX is to gather, organize, make sense of Comcast data, and make it universally accessible to empower, enable, and transform Comcast into an insight-driven organization. Members of the DX team define and leverage industry best practices, work on extremely large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines

Comcast is an EOE/Veterans/Disabled/LGBT employer

UST Global
  • San Diego, CA

KEY SKILLSETS

- 7+ years experience with Python

- 4+ years experience with Java


General Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state of the art methods
- Extending business data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Min 8 yrs of experience
- Hands on experience in Python
- Excellent understanding of machine learning techniques and algorithms.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc Excellence in at least one of these is highly desirable
- Great communication skills
- Experience with data visualization tools, such as GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB
- Good applied statistics skills, such as distributions, statistical testing, regression,

UST Global
  • Atlanta, GA

KEY SKILLSETS

- 7+ years experience with Python

- 4+ years experience with Java


General Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state of the art methods
- Extending business data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Min 8 yrs of experience
- Hands on experience in Python
- Excellent understanding of machine learning techniques and algorithms.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc Excellence in at least one of these is highly desirable
- Great communication skills
- Experience with data visualization tools, such as GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB
- Good applied statistics skills, such as distributions, statistical testing, regression,

Visa
  • Austin, TX
Company Description
Common Purpose, Uncommon
Opportunity. Everyone at Visa works with one goal in mind making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visas sponsorships, including the Olympics and FIFA World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the
world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to
be.
Job Description
The ideal candidate will be responsible for the following to:
  • Perform Hadoop Administration on Production Hadoop clusters
  • Perform Tuning and Increase Operational efficiency on a continuous basis
  • Monitor health of the platforms and Generate Performance Reports and Monitor and provide continuous improvements
  • Working closely with development, engineering and operation teams, jointly work on key deliverables ensuring production scalability and stability
  • Develop and enhance platform best practices
  • Ensure the Hadoop platform can effectively meet performance & SLA requirements
  • Responsible for support of Hadoop Production environment which includes Hive, YARN, Spark, Impala, Kafka, SOLR, Oozie, Sentry, Encryption, Hbase, etc.
  • Perform optimization capacity planning of a large multi-tenant cluster
Qualifications
  • Minimum 3 years of work experience in maintaining, optimization, issue resolution of Hadoop clusters, supporting Business users and Batch
  • Experience in Configuring and setting up Hadoop clusters and provide support for - aggregation, lookup & fact table creation criteria
  • Map Reduce tuning, data node, NN recovery etc.
  • Experience in Linux / Unix OS Services, Administration, Shell, awk scripting
  • Experience in building and scalable Hadoop applications
  • Experience in Core Java, Hadoop (Map Reduce, Hive, Pig, HDFS, H-catalog, Zookeeper and OOzie)
  • Hands-on Experience in SQL (Oracle ) and No SQL Databases (HBASE/Cassandra/Mongo DB)
  • Excellent oral and written communication and presentation skills, analytical and problem solving skills
  • Self-driven, Ability to work independently and as part of a team with proven track record developing and launching products at scale
  • Minimum of four year technical degree required
  • Experience on Cloudera distribution preferred
  • Hands-on Experience as a Linux Sys Admin is a plus
  • Knowledge on Spark and Kafka is a plus.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Job Number: REF15232V
GTN Technical Staffing and Consulting
  • Dallas, TX

This position requires a broad array of programming skills and experience as well as the desire to learn and grow in an entrepreneurial environment. You will be responsible for creating and developing client onboarding, product provisioning and real-time analytics software services. You will work closely with other members of the architecture team to make strategic decisions about product development, devops and future technology choices.

The ideal candidate should:

  • Demonstrate a proven track record of rapidly building, delivering, and maintaining complex software products.
  • Possess excellent communication skills.
  • Have high integrity.
  • Embrace learning and have a thirst for knowledge.

Enjoy solving problems and finding generic solutions to challenging situations.

  • Enjoy being a mentor for junior team members.

Be self-motivated to innovate and develop cutting edge technology functionality.

  • Be able to rapidly learn new frameworks.
  • Be responsible for creating and implementing core product architecture. Be comfortable developing frontend and backend solutions.

This position reports directly to the CTO.

Required experience:

7+ years hands-on experience

  • AWS (EC2, Lambda, ECS)
  • Docker/Kubernetes
  • 3+ years programming in Scala
  • 3+ years programming in Node.js
  • ES6/Modern javascript
  • Microservices

Preferred experience:

  • Mongodb
  • SBT
  • Serverless Computing

The ideal candidate will:

  • Possess excellent communication and organization skills
  • Embrace learning and have a thirst for knowledge
  • Rapidly learn new technological paradigms
  • Understand and program in multiple programming languages
  • Enjoy being part of a growing team
  • Self-motivated team player

Benefits

  • Medical / Dental / Vision Insurance
  • 401(k)
  • Competitive compensation
  • Work with leaders in the industry
  • Opportunities to learn and grow every day
  • Play a meaningful role on a successful team
SoftClouds LLC
  • San Diego, CA

Job Overview: SoftClouds is looking for a Data Engineer to join our analytics platform team in designing and developing the next generation data and analytics solutions. The candidate should have deep technical skills as well as the ability to understand data and analytics, and an openness to working with disparate platforms, data sources and data formats.


Roles and Responsibilities:
  • Experience with MySQL, MS SQL Server, or Hadoop, or MongoDB.
  • Writing SQL Queries, tables joins.
  • AWS, python, or bash shell scripting
  • Have some experience pulling data from Hadoop.
  • Analyze data, system and data flows and develop effective ways to store and present data in BI applications
  • ETL experience a plus.
  • Work with data from disparate environments including Hadoop, MongoDB Talend, and other SQL and NoSQL data stores
  • Help develop the next generation analytics platform
  • Proactively ensure data integrity and focus on continuous performance improvements of existing processes.


Required skills and experience:
  • 5  or more years of experience in software development
  • 3 year of experience in writing Data applications using Spark
  • Experience in Java and Python
  • Familiarity  with Agile development methodology `
  • Experience with Scala is a plus
  • Experience with NoSQL databases, e.g., Cassandra is a plus
  • Expertise in Apache Spark & Hadoop.
  • Expertise in machine learning algorithms


Education / Experience:

  • Bachelor's Degree in Engineering or Computer Science or related field required.
  • U.S. Citizens/GC/GC EAD are encouraged to apply. We are unable to sponsor at this time. NO C2C or third-party agencies.



phData, Inc.
  • Minneapolis, MN

Title: Big Data Solutions Architect (Minneapolis or US Remote)


Join the Game-Changers in Big Data  


Are you inspired by innovation, hard work and a passion for data?    


If so, this may be the ideal opportunity to leverage your background in Big Data and Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of clients.  


As a Solution Architect on our Big Data Consulting team, your responsibilities include:


    • Design, develop, and innovative Big Data solutions; partner with our internal Managed Services Architects and Data Engineers to build creative solutions to solve tough big data problems.  
    • Determine the project road map, select the best tools, assign tasks and priorities, and assume general project management oversight for performance, data integration, ecosystem integration, and security of big data solutions
    • Work across a broad range of technologies from infrastructure to applications to ensure the ideal Big Data solution is implemented and optimized
    • Integrate data from a variety of data sources (data warehouse, data marts) utilizing on-prem or cloud-based data structures (AWS); determine new and existing data sources
    • Design and implement streaming, data lake, and analytics big data solutions

    • Create and direct testing strategies including unit, integration, and full end-to-end tests of data pipelines

    • Select the right storage solution for a project - comparing Kudu, HBase, HDFS, and relational databases based on their strengths

    • Utilize ETL processes to build data repositories; integrate data into Hadoop data lake using Sqoop (batch ingest), Kafka (streaming), Spark, Hive or Impala (transformation)

    • Partner with our Managed Services team to design and install on prem or cloud based infrastructure including networking, virtual machines, containers, and software

    • Determine and select best tools to ensure optimized data performance; perform Data Analysis utilizing Spark, Hive, and Impala

    • Mentor and coach Developers and Data Engineers. Provide guidance with project creation, application structure, automation, code style, testing, and code reviews

Qualifications

  • 5+ years previous experience as a Software Engineer, Data Engineer or Data Analytics - combined with an expertise in Hadoop Technologies and Java programming
  • Technical Leadership experience leading/mentoring junior software/data engineers, as well as scoping activities on large scale, complex technology projects
  • Expertise in core Hadoop technologies including HDFS, Hive and YARN.  
  • Deep experience in one or more ecosystem products/languages such as HBase, Spark, Impala, Solr, Kudu, etc
  • Expert programming experience in Java, Scala, or other statically typed programming language
  • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
  • Excellent communication skills including proven experience working with key stakeholders and customers
  • Ability to translate big picture business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access and consumption, as well as custom analytics
  • Customer relationship management including project escalations, and participating in executive steering meetings
  • Ability to learn new technologies in a quickly changing field
phData, Inc.
  • Minneapolis, MN

Title: Big Data Solutions Architect (Minneapolis or US Remote)


Join the Game-Changers in Big Data  


Are you inspired by innovation, hard work and a passion for data?    


If so, this may be the ideal opportunity to leverage your background in Big Data and Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of clients.  


As a Solution Architect on our Big Data Consulting team, your responsibilities include:


    • Design, develop, and innovative Big Data solutions; partner with our internal Managed Services Architects and Data Engineers to build creative solutions to solve tough big data problems.  
    • Determine the project road map, select the best tools, assign tasks and priorities, and assume general project management oversight for performance, data integration, ecosystem integration, and security of big data solutions
    • Work across a broad range of technologies from infrastructure to applications to ensure the ideal Big Data solution is implemented and optimized
    • Integrate data from a variety of data sources (data warehouse, data marts) utilizing on-prem or cloud-based data structures (AWS); determine new and existing data sources
    • Design and implement streaming, data lake, and analytics big data solutions

    • Create and direct testing strategies including unit, integration, and full end-to-end tests of data pipelines

    • Select the right storage solution for a project - comparing Kudu, HBase, HDFS, and relational databases based on their strengths

    • Utilize ETL processes to build data repositories; integrate data into Hadoop data lake using Sqoop (batch ingest), Kafka (streaming), Spark, Hive or Impala (transformation)

    • Partner with our Managed Services team to design and install on prem or cloud based infrastructure including networking, virtual machines, containers, and software

    • Determine and select best tools to ensure optimized data performance; perform Data Analysis utilizing Spark, Hive, and Impala

    • Mentor and coach Developers and Data Engineers. Provide guidance with project creation, application structure, automation, code style, testing, and code reviews

Qualifications

  • 5+ years previous experience as a Software Engineer, Data Engineer or Data Analytics - combined with an expertise in Hadoop Technologies and Java programming
  • Technical Leadership experience leading/mentoring junior software/data engineers, as well as scoping activities on large scale, complex technology projects
  • Expertise in core Hadoop technologies including HDFS, Hive and YARN.  
  • Deep experience in one or more ecosystem products/languages such as HBase, Spark, Impala, Solr, Kudu, etc
  • Expert programming experience in Java, Scala, or other statically typed programming language
  • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
  • Excellent communication skills including proven experience working with key stakeholders and customers
  • Ability to translate big picture business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access and consumption, as well as custom analytics
  • Customer relationship management including project escalations, and participating in executive steering meetings
  • Ability to learn new technologies in a quickly changing field
Hulu
  • Santa Monica, CA

WHAT YOU’LL DO



  • Build robust and scalable micro-services

  • End to end ownership of backend services: Ideate, review design, build, code-review, test, load-test, launch, monitor performance

  • Identify opportunities to optimize ad delivery algorithm – measure and monitor ad-break utilization for ad count and ad duration.

  • Work with product team to translate requirements into well-defined technical implementation

  • Define technical and operational KPIs to measure ad delivery health

  • Build Functional and Qualitative Test frameworks for ad server

  • Challenge our team and software to be even better


WHAT TO BRING



  • BS or MS in Computer Science/Engineering

  • 7+ years of relevant software engineering experience

  • Strong analytical skills

  • Strong programming (Java/C#/C++ or other related programming languages) and scripting skills

  • Great communication, collaboration skills and a strong teamwork ethic

  • Strive for excellence


NICE-TO-HAVES



  • Experience with non-relational database technologies (MongoDB, Cassandra, DynamoDB)

  • Experience with Redis and/or MemCache

  • Experience with Apache Kafka and/or Kinesis

  • AWS

  • Big Data technologies and data warehouses – Spark, Hadoop, Redshift