Lead Data Engineer – Data Engineering 4C

Lead Data Engineer – Data Engineering 4C — Lead Data Engineer – India | Regular

Join a fast‑moving AI‑focused team to design and deliver scalable Azure data solutions that power global enterprises. You’ll work remotely on an evening shift, turning complex business problems into reliable, data‑driven products.

What You’ll Do
Design and implement ETL pipelines with Azure Data Factory and Databricks.
Build and tune storage on Azure Data Lake, Azure SQL, and Snowflake.
Translate business requirements into robust data architectures.
Enforce data quality, security, and governance best practices.
Optimize query performance and workflow efficiency.

What You Need
Hands‑on experience with Azure Data Factory, Azure Data Lake, and Databricks.
Strong Python and SQL coding skills for data transformation.
Proven ability to design end‑to‑end ETL/ELT pipelines.
Working knowledge of Snowflake and cloud‑architecture principles.
Familiarity with CI/CD pipelines and DevOps for data deployments.

Good to Have
Microsoft Azure Data Engineer Associate certification.
Banking domain experience using Azure data services.
Exposure to Power BI or similar visualization tools.

The Opportunity
The role sits within Genpact’s AI Gigafactory, collaborating with analytics and client teams to deliver AI‑enabled data products. It offers a remote, evening‑shift schedule and exposure to cutting‑edge Azure and AI technologies.