Key Skills: Data Governance, Databricks, Python, SQL
Roles and Responsibilities:
- Design and deliver scalable data engineering solutions aligned to enterprise architecture and governance standards.
- Build and support cloud-based data workflows using AWS services, Databricks, and related analytics platforms.
- Translate complex business logic into modular, maintainable code and reusable data components.
- Partner with engineering teams on solution design, technical trade-offs, and platform evolution decisions.
- Support CI/CD practices, code reviews, and release readiness across data engineering delivery streams.
Skills Required:
- 8 to 11 years of relevant experience in application development, data engineering, or analytics engineering.
- Robust hands-on experience in Python, Databricks, and data governance practices.
- Solid architecture and platform experience across AWS services and enterprise data environments.
- Experience handling large datasets, Spark-based processing, and scalable analytics workloads.
- Working knowledge of HTTP API/RPC development, SDLC practices, and production-grade engineering delivery.
Good to Have:
- SQL
Education: Bachelor's degree in Engineering, Computer Science, or a related discipline.