Data Engineering Manager_99821

Company:A Large Global Organization Key Skills: Pyspark, Informatica MDM, Python, ETL, MDM, AWS Cloud, Azure Databricks, Azure, SQL, SQL Based data engineering Roles and Responsibilities: Design and implement ETL pipelines to extract, transform, and load data from multiple sources. Lead MDM development and governance, including Informatica MDM logic to support analytics and reporting use cases. Optimize and maintain ETL workflows for efficiency, performance, and operational reliability.

Ensure data quality through testing, validation, and monitoring of data transformation layers. Drive delivery of production-ready data applications and maintain technical documentation for engineering and support teams. Skills Required: 12 - 15 years of relevant data engineering experience, including ETL and MDM delivery MDM and Informatica MDM for master data integration and governance.

ETL development with strong data integration fundamentals. Python and PySpark for scalable data transformation and processing. SQL-based data engineering practices for querying, optimization, and performance tuning.

Good to Have: Experience with Azure and Azure Databricks for data platform delivery. Experience with AWS Cloud for cloud-based data engineering. Hands-on experience with SQL-based data engineering patterns and query optimization.

Education : B.Tech, BCA, M.B.A., M. Tech, M.Sc., or MCA (or equivalent)