Responsibilities
- Build and sustain ETL workflows and data integration components with Python and SQL
- Utilize AWS platforms such as S3, Lambda, Glue, and DynamoDB alongside NoSQL solutions like MongoDB
- Design and validate efficient data movement processes while ensuring cross-system data integrity
- Improve data pipeline performance and architecture through collaboration with senior technical staff
- Identify, diagnose, and resolve live data processing issues using root cause analysis
- Support enhancements in development workflows and real-time performance tracking systems
