Senior Data Quality / ETL Engineer

Pattern Corporate is seeking a Senior Data Quality / ETL Engineer to join their engineering team in a hybrid work environment based in Pune, India. This role is crucial for maintaining data integrity and supporting data-driven decision-making across the organization.

The position requires a seasoned professional with 8+ years of experience in data quality engineering or ETL testing. The ideal candidate will work closely with Data Engineers, Data Scientists, and business teams to ensure the accuracy, completeness, and reliability of data through rigorous testing of ETL workflows and data pipelines.

Key responsibilities include designing and executing comprehensive test plans, performing data validation, building automated quality checks, and implementing monitoring frameworks. The role requires expertise in SQL, Python, and modern cloud data ecosystems including AWS, Snowflake, and Apache Spark.

This is an excellent opportunity for a detail-oriented professional who enjoys working with complex data systems and wants to play a critical role in maintaining data integrity at scale. The position offers the flexibility of hybrid work while being part of a growing engineering team.

The ideal candidate should have a strong technical background with a Bachelor's degree in Computer Science or related field, extensive experience with data quality frameworks, and a deep understanding of ETL concepts and data warehousing principles. Experience with CI/CD pipelines, big data platforms, and Agile methodologies is essential for success in this role.