Sr. AWS Data Engineer

This role involves overseeing an automated data pipeline environment. The position focuses on ensuring incoming datasets are processed accurately and securely. Key responsibilities include monitoring workflows, troubleshooting failures, and validating data quality. The role also supports customer onboarding by aligning their data to an internal model.

The role requires 6 to 10 years of experience in data operations, data engineering, or data support. Candidates must have hands‑on experience with AWS services such as S3, Glue, Lambda, Cloud Watch, and Redshift. Strong SQL skills for joins, aggregations, and troubleshooting data discrepancies are necessary. Working knowledge of Python for scripting and data validation is also required. Experience troubleshooting automated data pipelines and familiarity with structured and semi-structured data formats like CSV, JSON, and Parquet are essential.

The position also necessitates strong analytical and problem‑solving skills and comfort with technical customer discussions. Experience in a healthcare or pharmaceutical environment is also required.