- Design and develop scalable ETL/ELT pipelines to ingest, clean, and transform data.
- Implement efficient data models for analytics, machine learning, and operational systems.
- Manage data infrastructure leveraging cloud-native solutions (AWS, GCP, or Azure).
- Collaborate with product, operations, and engineering teams to deliver data products.
- Implement robust monitoring, validation, and governance for data quality and security.
- Architect solutions to handle rapid growth in data volume and complexity.
PythonSQLJava+5 more