Enterprise Data Engineer

• Design and optimize Data Pipelines using Spark, Apache Iceberg, Trino, OpenSearch, Lucene, EMR cloud services, NiFi, and Kubernetes containers and the Indexing, ODM, and Viking Platform.
• Ensure the pedigree and provenance of the data is maintained such that the access to data is protected.
• Clean and preprocess data to enable access for advanced analytics.
• Collaborate with enterprise working groups to advance the state of data standards.
• Collaborate with the engineering team, data stewards, and mission partners to aid in getting actionable value out of the data holdings.
• Collaborate with software engineers to update, configure, and maintain data services based on the requirements.
• Conduct quarterly analysis and provide recommendations for data tools that support data functions within Viking, Indexing, and ODM on the new environment.
• Provide support that may include administration and performance tuning of data tools to keep current for continuous RMA efforts

Do you have experience in Spark implementation?, * 4 to 7+ years of experience in one or more of the following areas:

• Data lifecycle engineering
• Development and maintenance of extract, transform and load (ETL) tools and services
• Cloud and on-prem data storage and processing solutions
• Python, SQL, Spark and/or other data engineering programming
• COTS and open source data engineering tools such as ElasticSearch and NiFi
• Agile / Scrum

Security clearance:

• Active TS/SCI with Poly security clearance is required

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