Lead Data Engineer
thermofisher
Job Description
- Design, develop, deploy, and operate scalable ETL and data pipelines using PySpark, Python, advanced SQL, and AWS data services
- Own data pipeline lifecycle from requirements, mapping, development, testing, deployment, monitoring, production support, release management, and future roadmap planning
- Build ingestion and transformation pipelines for flat files, relational databases, APIs, data warehouses, healthcare data sources, and enterprise data platforms
- Implement mapping automation, preferably using AI, along with LLM-assisted data cleaning, transformation, data quality checks, and RAG use cases
- Implement secure handling of PHI/PII data including encryption, access controls, auditability, retention, masking, de-identification, governance, and operational readiness