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