Senior Data Engineer - ETL & AI-Powered Pipelines
Summary
Owns and scales ETL pipelines for healthcare data using PySpark, Python, SQL, and AWS, while ensuring PHI/PII security and governance in a regulated environment.
Thermo Fisher Scientific in Manila is seeking a Lead Data Engineer to own end-to-end data pipelines, architecture, and governance in a highly regulated healthcare data environment.
You will design and operate scalable ETL using PySpark, Python, SQL, and AWS services, guiding the pipeline lifecycle from requirements to production support while implementing AI-assisted mapping and secure handling of PHI/PII.