Manager - Data Quality Engineering

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟯𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟯-𝟯𝟬 𝗟𝗣𝗔)

Experience: 9+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for an experiencedManager – Data Quality Engineeringto lead a team responsible for ensuring the accuracy, completeness, reliability, and integrity of data across large-scale data platforms and pipelines.

This role combinestechnical 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 strong hands-on expertise inPython, SQL, data quality automation, ETL validation, Snowflake, Databricks, Spark, and CI/CD, along with proven experience leading and developing engineering teams.

Requirements

Key Responsibilities

• Lead and mentor a team ofData Quality Engineerssupporting multiple data pipelines, platforms, and business domains.
• Define and execute data quality and automation strategies for complexETL pipelines, transformations, and business rules.
• Develop scalable approaches for validating data across platforms such asSnowflake and Databricks.
• Drive the design, implementation, and continuous improvement oftest 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 identifydata anomalies, transformation errors, and business logic issues.
• Establish engineering standards and best practices for data quality, testing, automation, and validation.
• Integrate data quality testing intoCI/CD pipelinesto enable reliable and continuous validation.
• Support quality engineering across technologies such asAirflow, Spark, Databricks, and Snowflake.
• Drive root-cause analysis and resolution of complex data quality issues.
• Establish metrics and processes to monitor data quality and improve reliability across critical data products.
• Participate in Agile planning, technical discussions, architecture reviews, and cross-functional delivery.
• Manage hiring, performance management, career development, and technical growth of team members.
• Foster a culture ofengineering excellence, accountability, collaboration, and continuous improvement.

What's Makes You a Great Fit

• 8+ years of hands-on experiencein software testing, data quality engineering, data engineering, or a related technical discipline.
• At least2 years of experience in technical leadership or engineering management.
• Strong experience validating complexETL pipelines, data transformations, business logic, and large-scale data systems.
• Strong hands-on proficiency inPython and SQL, including analysis of large or terabyte-scale datasets.
• Solid understanding ofdata quality engineering, test automation, validation frameworks, and CI/CD practices.
• Practical experience with technologies such asSnowflake, Databricks, Spark, and Airflow.
• Strong analytical and problem-solving skills with the ability to investigate complex data issues and identify root causes.
• Experience implementing quality engineering practices withinAgile development environments.
• Proven ability to build, mentor, and manage high-performing engineering teams.
• Strong stakeholder management and communication skills, with the ability to work effectively across Data, Product, Engineering, and Analytics teams.
• Bachelor's degree inComputer Science, Engineering, or a related field, or equivalent practical experience.
• A strong ownership mindset with a passion for building scalable, reliable, and high-quality data systems.