Python SQL AWS Developer, Data Pipelines
Overview
You will design, build, and maintain data pipelines and ETL/ELT processes using Python and SQL for a government contractor in Reston, VA. Your work will power analytics and reporting for mission-critical systems, with a focus on data quality and performance. You will collaborate with a small team of engineers and analysts, reporting directly to the technical lead. This role stands out for its mix of hands-on coding and data architecture, with opportunities to shape data infrastructure from day one.
What You'll Do8
- 1Design and implement ETL/ELT pipelines using Python and SQL to move data from multiple sources into AWS data services.
- 2Develop and optimize complex SQL queries, stored procedures, and database objects for reporting and analytics.
- 3Perform source-to-target data mapping and execute data quality validation using Python scripts.
- 4Automate data workflows with AWS services like Glue and Lambda to reduce manual effort.
- 5Debug and tune performance of data pipelines and queries to meet SLAs.
- 6Collaborate with BI analysts to translate requirements into efficient data models.
- 7Maintain documentation for data lineage and pipeline logic.
- 8Ship production-ready code with unit tests and CI/CD pipelines using Jira for tracking.
Requirements8
- 15+ years of professional experience in data engineering or related field.
- 23+ years with Python for data processing and scripting.
- 33+ years with SQL including complex joins, window functions, and query tuning.
- 4Hands-on experience with AWS data services such as S3, Glue, Redshift, or Athena.
- 5Experience with ETL/ELT design and data warehousing concepts.
- 6Strong understanding of BI concepts and reporting needs.
- 7Familiarity with Jira for agile project management.
- 8Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
Salary Insight
Salary not disclosed in listing
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