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.





- Solid 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.

📌 Data Management Strategy & Governance Associate Advisor (Hyderabad)
🏢 Careernet
📍 Hyderabad