Lead Data Engineer
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run.



Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description
We are seeking a skilled Data Quality Engineer to design, build, and operationalize a Data Quality Factory — a standardized, scalable framework for profiling, validating, monitoring, and remediating data quality issues across enterprise data platforms. The ideal candidate will bring hands-on expertise across Azure AI Foundry, Python, SQL, Databricks, and Snowflake, and will play a key role in embedding automated data quality checks, rules, and dashboards into contemporary data pipelines.
Key Responsibilities
• Design and implement a reusable Data Quality Factory framework covering profiling, rule-based validation, anomaly detection, and reconciliation across source and target systems.
• Build and maintain d

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