Data Engineer, Senior

Key Role:

Develop data pipelines using big data services available in the Cloud Architect data repositories, stand up data platforms, and write custom code for data ingestion, transformation, and aggregation. Create data models to support business requirements. Work as a client-facing consultant providing solutions to big data use cases. Develop CI and CD pipelines to support automated deployment and automated testing.

Basic Qualifications:

  • 6+ years of experience with working in a big data environment 
  • 4+ years of experience with SQL 
  • 4+ years of experience with developing ETL and data pipelines  
  • Experience with a modern programming language, including Python or Java  
  • Secret clearance
  • BA or BS degree

Additional Qualifications:

  • 5+ years of experience with working in an agile development environment 
  • 3+ years of experience with the Hadoop ecosystem and Apache Spark
  • 3+ years of experience with AWS cloud native services for big data storage and processing
  • Experience with Big Data ETL tools, including StreamSets and NiFi
  • Experience with leading a technical team
  • Ability to quickly learn technical concepts and communicate with multiple functional groups 
  • Ability to display a positive, can-do attitude to solve the challenges of tomorrow
  • Top Secret clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required

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