Principal Consultant, Data Quality Engineer.

Genpact is seeking a Principal Consultant, Data Quality Engineer to build and deploy cutting-edge AI solutions. The role involves collaborating with cross-functional teams to deliver high-quality software solutions that enhance operational efficiency and support strategic business objectives.

Requirements

• Design and execute data validation strategies to ensure data accuracy and completeness during migration from legacy to target systems
• Develop and maintain complex SQL scripts to validate datasets based on source to target mapping and business requirement
• Create and maintain data quality test cases, validation frameworks, and automated checks
• Perform data reconciliation, data profiling, row count validation, field-level comparisons, and referential integrity checks
• Identify and analyze data discrepancies, transformation issues, and data loss risks
• Automate data verification processes where feasible using SQL, Python, or ETL testing tools
• Coordinate with developers, data analysts, and business stakeholders to define data quality acceptance criteria
• Perform root cause analysis for data quality issues and collaborate with data engineers to resolve defects
• Track, document, and report test results, anomalies, and quality metrics
• Support post-migration validation and rollback readiness analysis

Benefits

• Lead AI-first transformation
• Make an impact
• Accelerate your career
• Grow with the best
• Committed to ethical AI
• Thrive in a values-driven culture