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:

-Experience as a Data Engineer, ETL Developer, or DevOps Engineer

-Experience with a modern programming language, including Python or Java

-Experience with SQL

-Experience with Hadoop and Spark

-Ability to obtain a security clearance

-BA or BS degree

Additional Qualifications:

-Experience with the Hadoop ecosystem and Apache Spark

-Experience with AWS cloud native services for big data storage and processing

-Experience with data modeling concepts

-Experience with leading a technical team

-Possession of excellent analytical and problem-solving skills

-Possession of excellent verbal and written communication skills

-Secret Clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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