We're Hiring - SAS Migration & Databricks Engineer

Experience: 8 - 12 Years

Location: Chennai | Mumbai | Bengaluru | Pune

Work Mode: Onsite / Hybrid

Shift: General

Key Skills:

SAS Migration | Databricks | SAS | Linux | Python | PySpark | SQL | Data Engineering

Key Responsibilities:

- Analyze and migrate existing SAS applications, jobs, macros, libraries, and reporting workloads.

- Support migration of SAS workloads to modern SAS-compatible platforms.

- Validate SAS programs, procedures, data processing, reporting, and business rules.

- Participate in data modernization initiatives using Databricks, Spark, PySpark, Python, and SQL.

- Develop and optimize ETL/ELT pipelines and data processing workflows.

- Perform data validation, reconciliation, testing, and UAT support.

- Identify migration issues, dependencies, and opportunities for modernization.

- Optimize data processing performance and resource utilization.

- Develop automation utilities and support CI/CD processes.

- Support deployment, production stabilization, troubleshooting, and ongoing optimization.

Required Skills:

- Strong hands-on experience with SAS Base, SAS Macros, Data Step, SAS Procedures, SAS Batch Processing, Enterprise Guide, and SAS Reporting.

- Experience with Databricks, Spark/PySpark, SQL, and cloud data platforms.

- Strong Linux and shell scripting experience.

- Strong SQL and database knowledge.

- Experience with Oracle, SQL Server, Teradata, PostgreSQL, or Hadoop-based platforms.

- Understanding of Data Warehousing, Lakehouse Architecture, ETL/ELT, and Data Modernization.

- Knowledge of Git, CI/CD, Terraform, Ansible, and automation tools.

Good to Have:

- Experience with Altair SLC or other SAS-compatible platforms.

- Experience in healthcare, medical claims, or pharmacy claims domains.

Education: Bachelor's Degree or equivalent