Active Secret clearance is required.Requirement:Position Overview:Data EngineerSupport enterprise data management activities. Understand and analyze complex business and data requirements. Develop a broad understanding of the upstream and downstream systems and processes, including impact and gap analysis of current databases and reporting systems. Provide technical assistance as subject matter expert in identifying, evaluating and developing data solutions that meet business requirements. Help with data validation and testing approach, systems testing, and provide post-production support to the data engineering processes and pipelines.
Basic Qualifications- Bachelor's degree in computer science, Information Systems, another related discipline, or equivalent work experience in the software development field will be considered
- 4+ years of data analysis and data engineering experience.
- 2+ years of experience building ETL pipelines from multiple database systems using SQL, Spark, Unix, Python, PySpark SQL, Java or C# languages
- 3+ years of experience using data visualization tools such as QlikSense, Tableau, Power BI etc.
- Experience using Databricks
- Demonstrated experience with data analysis and tagging for mapping across multiple databases and systems
- Strong problem solving and critical thinking skills
- Strong analytical background
- Ability to use Python and SQL in DataBricks
Additional Qualifications- Unity Catalog a plus (they are doing a WDP (Workload Data Platform) DataBricks migration to Unity Catalog
- AWS Cloud experience preferred (IAM, S3, EC2, and Glue etc)
- Experience with Agile development
- Experience with RDBMS such as Oracle 12c, MS SQL Server, DB2 etc
- DoD system development experience preferred
- SECRET security clearance required
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