Big Data Engineer – Charlotte, NC

Big Data Engineer

The Select Group’s client is looking for a Big Data Engineer who will be responsible for designing, developing and testing ETL applications or pipelines. If you are interested in the role and requirements listed below will be a good fit for you, APPLY NOW!

Unable to work Corp-to-Corp on this position

 

BIG DATA ENGINEER REQUIREMENTS:

5-8 years’ of experience in Data Engineering and experience with the following:

Must Have:
• SQL
• NoSQL
• Mongo DB
• Big Data Experience
• Scalability Experience
• ETL PipelinesBIG DATA ENGINEER RESPONSIBILITIES:

  • Support or collaborate with application developers, database architects, data analysts and data scientists to ensure optimal data delivery architecture throughout ongoing projects/operations.
  • Design, build, and manage analytics infrastructure that can be utilized by data analysts, data scientists, and non-technical data consumers, which enables functions of the big data platform for Analytics.
  • Develop, construct, test, and maintain architectures, such as databases and large-scale processing systems that help analyze and process data in the way the Analytics organization requires.
  • Develop highly scalable data management interfaces, as well as software components by employing programming languages and tools.
  • Work closely with a team of Data Science staff to take existing or new models and convert them into scalable analytical solutions.
  • Design, document, build, test and deploy data pipelines that assemble large complex datasets from various sources and integrate them into a unified view.
  • Identify, design, and implement operational improvements: automating manual processes, data quality checks, error handling and recovery, re-designing infrastructure as needed.
  • Create data models that will allow analytics and business teams to derive insights about customer behaviors
  • Build new data pipelines, identify existing data gaps and provide automated solutions to deliver analytical capabilities and enriched data to applications.
  • Responsible for obtaining data from the System of Record and establishing batch or real-time data feed to provide analysis in an automated fashion.
  • Develop techniques supporting trending and analytic decision making processes
  • Apply technologies for responsive front-end experience
  • Ensure systems meet business requirements and industry practices
  • Research opportunities for data acquisition and new uses for existing data
  • Develop data set processes for data modeling, mining and production
  • Integrate data management technologies and software engineering tools into existing structures
  • Employ a variety of languages and tools (e.g. scripting languages)

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