Job Description
We are seeking a Senior Data Engineer with strong Python expertise to design and deliver scalable ETL solutions supporting enterprise analytics and financial/insurance data platforms. This role focuses on building reliable, secure data pipelines using AWS Glue and modern data engineering practices in a hybrid, day‑shift work model.
Responsibilities
- Design and develop scalable Python‑based ETL pipelines, primarily using AWS Glue
- Build and optimize ETL jobs to process large volumes of structured and semi‑structured data
- Apply performance tuning, partitioning, and monitoring to meet SLA and reliability goals
- Implement data quality checks, validation rules, and error handling
- Integrate data pipelines with S3, Athena, Lambda, and analytics platforms
- Ensure secure data handling in compliance with regulatory and enterprise standards
- Partner with architects, analysts, and product owners to translate busin...