Description
The employer is seeking a Lead Data Engineer to own the full lifecycle of enterprise data pipelines, including roadmap planning, scalable ETL architecture, AWS data services, secure PHI/PII handling, healthcare data standards, AI-assisted mapping and data cleaning, data quality, transformation, cataloging, and RAG-enabled solutions. The role requires a bachelor's degree or equivalent in a relevant field and at least seven years of data engineering, ETL, cloud data platform, healthcare, or regulated-data experience. Responsibilities include designing and operating PySpark, Python, SQL, and AWS-based pipelines; leading technical design and delivery; mentoring engineers; and managing production support and release management. The role is office-based and follows India or Philippines work schedules.
