Senior Databricks Engineer (India)

Senior Databricks Engineer (India)

02 Oct
|
Vysystems
|
India

02 Oct

Vysystems

India

? Hiring: Senior Databricks Engineer – SAS Modernisation & Migration

We are looking for an experienced Senior Databricks Engineer with strong expertise in Databricks, SAS, PySpark, Python, and Azure to modernise and migrate SAS workloads into scalable Databricks solutions.

? Experience: 10+ Years (Strictly no profiles below 10 years)
? Notice Period: Immediate Joiners Only
? Location: Pan India

? Responsibilities:
• Analyse the existing SAS estate, including jobs, datasets, macros, dependencies, interfaces, and business logic.
• Migrate and re-engineer SAS workloads to Azure Databricks using PySpark and Spark SQL.
• Develop scalable Delta Lake pipelines, Databricks Workflows, and Lakehouse solutions.
• Perform SAS vs Databricks validation and reconciliation, including record counts, aggregations, and business logic validation.
• Implement governance, performance optimisation, scalability, and cost optimisation for Databricks solutions.
• Support UAT, production deployment, cutover, troubleshooting, and post-production support.

? Mandatory Skills:




• 6+ years of hands-on Databricks experience with Azure Databricks / Databricks Lakehouse.
• Minimum 3+ years of strong SAS experience, including Base SAS, DATA Step, PROC SQL, Macros, and SAS Enterprise Guide.
• Strong hands-on expertise in PySpark, Python, and Spark SQL.
• Strong knowledge of Delta Lake, Unity Catalog, Databricks Workflows, and Medallion Architecture (Bronze/Silver/Gold).
• Experience in SAS to Databricks / SAS to PySpark migration or data-platform modernisation projects.
• Good experience in CI/CD, Git, performance tuning, production support, reconciliation, and troubleshooting.

? Resume Note: Please ensure all mandatory skills are clearly mentioned in your resume to avoid rejection during the screening process.

? Valuable to Have:
• Experience with SAS Grid / SAS Viya.
• Knowledge of SAS batch scheduling, job dependencies, datasets, libraries, and file processing.
• Experience with automated code conv

📌 Senior Databricks Engineer (India)
🏢 Vysystems
📍 India

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