SAS Data Engineer

Cognizant is a leading digital company, and they are seeking a SAS Data Engineer to support large-scale SAS migration and modernization initiatives. The role involves collaborating with various teams to ensure successful migration outcomes through data validation, quality assurance, and automation.

Responsibilities:

• Analyze SAS programs, jobs, datasets, and business logic to support migration, modernization, and validation activities
• Design and execute test scenarios to validate migrated solutions and ensure functional equivalency between source and target platforms
• Perform data reconciliation and source-to-target validation to ensure data accuracy, completeness, and quality
• Leverage Python and PySpark to automate testing, profiling, validation, and comparison processes across large datasets
• Investigate defects, perform root cause analysis, and collaborate with cross-functional teams to resolve data discrepancies

Requirements:

• 7+ years of hands-on SAS programming experience, including DATA Step, PROC SQL, macros, datasets, and job analysis
• Strong experience with Python and PySpark for data processing, automation, validation, and reconciliation activities
• Proven experience supporting SAS migration, modernization, or transformation initiatives
• Strong QA and testing expertise, including ETL validation, source-to-target testing, data quality validation, and reconciliation
• Advanced SQL skills with experience querying, profiling, and validating large datasets
• Experience performing defect analysis, root cause investigations, and documenting testing outcomes
• Strong communication and stakeholder management skills, with the ability to collaborate effectively across technical and business teams
• Experience migrating SAS workloads to modern data platforms using Python, PySpark, or cloud-based technologies
• Exposure to Databricks and/or Snowflake environments
• Experience validating ETL workflows, batch processing systems, and reporting solutions
• Knowledge of Agile delivery methodologies, test management platforms, and defect tracking tools
• Experience creating QA sign-off documentation, validation reports, and audit-ready testing artifacts