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 settings.
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.
Positive to Have:
SQL
Education: Bachelor's degree in Engineering, Computer Science, or a related discipline.