Senior Data Engineer - Bupa

Key Responsibilities

• Design, develop, and maintain robust data pipelines that ingest, transform, and store large volumes of healthcare data across AWS services.
• Implement ETL processes using Python and Spark, ensuring data quality, consistency, and compliance with regulatory standards.
• Collaborate with data scientists and product teams to deliver actionable insights and support advanced analytics initiatives.
• Optimize performance and cost of data workflows through efficient architecture and resource management.
• Document data models, pipeline logic, and best practices for future maintenance and scalability.

Requirements

• 5+ years of experience in data engineering, preferably in a healthcare or regulated environment.
• Proficiency in Python, SQL, and Spark for large‑scale data processing.
• Hands‑on experience with AWS services such as S3, Redshift, Glue, and Lambda.
• Strong understanding of data modeling, ETL design patterns, and data governance.
• Excellent problem‑solving skills and ability to work collaboratively in a cross‑functional team.