Manager - Data Quality Engineering

About the role

We are looking for an experienced Manager – Data Quality Engineering to lead a team responsible for ensuring the accuracy, completeness, reliability, and integrity of data across large-scale data platforms and pipelines. This role combines technical leadership, data quality engineering, test automation, and people management .

What you'll do

• Lead and mentor a team of Data Quality Engineers supporting multiple data pipelines, platforms, and business domains
• Define and execute data quality and automation strategies for complex ETL pipelines, transformations, and business rules
• Develop scalable approaches for validating data across platforms such as Snowflake and Databricks
• Drive the design, implementation, and continuous improvement of test automation frameworks and validation infrastructure
• Partner with Data Engineers, Analysts, Product Managers, and other stakeholders to ensure data accuracy, completeness, consistency, and integrity

What you need

• 9–16 yrs of experience
• SQL
• Python
• ETL
• Snowflake
• Databricks
• Spark
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Airflow
• Test automation
• CI/CD
• Root cause analysis
• Performance management