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 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 strong 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 delivery.
• Establish processes and metrics to continuously improve data quality and testing effectiveness.
• Manage hiring, performance, career development, and technical growth of team members.
• Foster a culture of engineering excellence, ownership, collaboration, and accountability.

What's Makes You a Great Fit

• 8+ years of professional experience in software testing, data quality engineering, data engineering, or related technical roles.
• At least 2 years of experience in technical leadership or engineering management.
• Proven experience validating complex ETL pipelines, data transformations, and business logic across large-scale systems.
• Strong proficiency in Python and SQL, with experience working with large or terabyte-scale datasets.
• Strong understanding of data quality automation, test frameworks, CI/CD, and validation methodologies.
• Hands-on experience with Snowflake, Databricks, Spark, Airflow, or similar modern data platforms.
• Strong analytical and problem-solving skills with the ability to investigate complex data issues and determine root causes.
• Experience implementing quality engineering practices within Agile development environments.
• Proven ability to hire, mentor, manage, and develop engineering talent.
• Strong communication and stakeholder-management skills, with the ability to collaborate across Engineering, Product, Analytics, and Data teams.
• Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• A strong ownership mindset and passion for building scalable, reliable, and high-quality data systems.