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Experience: 9+ yrs
Location: Bengaluru, Karnataka, India
Job Type: Full-time
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. You will work closely with Data Engineering, Analytics, Product, and other technology teams to establish robust validation strategies for complex ETL pipelines, data transformations, and business rules.
The ideal candidate brings robust hands-on expertise in Python, SQL, data quality automation, ETL validation, Snowflake, Databricks, Spark, and CI/CD, along with proven experience leading and developing engineering teams.
Key Responsibilities
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.
Analyze large-scale datasets to identify data anomalies, transformation errors, and business logic issues.
Establish engineering standards and best practices for data quality, testing, automation, and validation.
Integrate data quality testing into CI/CD pipelines to enable reliable and continuous validation.
Support quality engineering across technologies such as Airflow, Spark, Databricks, and Snowflake.
Drive root-cause analysis an

📌 Manager - Data Quality Engineering (Bengaluru)
🏢 Weekday AI
📍 Bengaluru