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Related skills

data engineering etl sql python databricks

📋 Description

  • Supports the development and maintenance of secure data pipelines
  • Supports ETL/ELT workflows
  • Supports analytics-ready datasets
  • Works with data scientists, engineers, and mission stakeholders
  • Processes structured and unstructured data using Databricks, Spark, Palantir Foundry, Maven Smart

🎯 Requirements

  • 3+ years of relevant data engineering, software development, data analytics, or enterprise-platform
  • Active DoD clearance
  • Experience with Python and SQL
  • Experience supporting ETL/ELT pipelines and data transformations
  • Familiarity with data validation, data modeling, and data-quality practices
  • Familiarity with Spark, PySpark, Databricks, or comparable technologies
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