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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 data quality initiatives across large-scale data platforms and pipelines. This role combines technical leadership, data quality engineering, test automation, and people management, with a solid focus on ensuring the accuracy, completeness, reliability, and integrity of enterprise data.

You will lead a team of Data Quality Engineers, define automation strategies, and work closely with Data Engineering, Product, Analytics, and other technology teams to validate complex ETL processes, business rules, and data transformations.

Requirements

Key Responsibilities
- Lead and mentor a team of Data Quality Engineers responsible for validating multiple data pipelines and business domains.
- Define and implement automation strategies for complex ETL logic, data transformations, and business rules.




- Drive data validation initiatives across platforms such as Snowflake and Databricks.
- Design, enhance, and maintain scalable data quality and test automation frameworks.
- Partner with Data Engineers, Analysts, Product Managers, and other stakeholders to ensure data accuracy, completeness, and consistency.
- Analyze large-scale datasets to identify data anomalies, quality issues, and business logic discrepancies.
- Establish and improve data quality standards, testing methodologies, and engineering best practices.
- Integrate automated validation into CI/CD pipelines to improve reliability and deployment confidence.
- Work with technologies such as Airflow, Spark, Databricks, and Snowflake to support modern data engineering environments.
- Lead root-cause analysis and resolution of complex data quality and pipeline issues.
- Drive quality engineering practices across Agile teams and contribute to technical planning and d

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