? 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.

? Good to Have:

- Experience with SAS Grid / SAS Viya.
- Knowledge of SAS batch scheduling, job dependencies, datasets, libraries, and file processing.
- Experience with automated code conversion and manual remediation.
- Strong understanding of data lineage, UAT, business sign-off, and production cutovers.
- Experience working in large enterprise migration and modernisation programs.

? Please share the below details along with your resume:

- Total Experience:
- Relevant Experience (Databricks):
- Relevant Experience (SAS):
- Current CTC:
- Expected CTC:
- Current Location:
- Notice Period (LWD):
- Do you have PF for all previous companies? Yes / No

? Email: [email protected]

? Contact: +91 (phone hidden)

? LinkedIn: https://www.linkedin.com/in/varsha-kothandaraman

Key Note

? Profiles with less than 10 years of total experience will not be considered.

? Candidates must have minimum 6 years of Databricks and minimum 3 years of SAS experience.

? SAS to Databricks / SAS to PySpark migration experience is mandatory.

? Immediate Joiners Only.

? PF throughout the career is mandatory.

? All proper employment and educational documents are mandatory.

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📌 Senior Databricks Engineer (India)
🏢 Vysystems
📍 India