Data QA Engineer – Data Validation & Pipeline Testing

About the role

We’re looking for a QA Data Engineer to support the validation, reconciliation, and production readiness of data pipelines for a high‑impact enterprise initiative. This hybrid role combines strong analytical capabilities with hands‑on experience in data quality, testing, and validation frameworks.

Key responsibilities

• Validate data accuracy across pipelines, ensuring consistency between legacy and new systems.
• Build and maintain reconciliation frameworks to compare outputs between legacy and modernized pipelines.
• Execute acceptance testing for data pipelines prior to production deployment.
• Validate identity resolution accuracy, including match rates and false‑positive/negative analysis.
• Develop and maintain automated regression test suites to ensure ongoing data quality.
• Perform data profiling and analysis to detect anomalies and inconsistencies.
• Document data lineage across multiple domains (up to 18 domains).
• Collaborate with Data Engineering and Analytics teams to ensure production readiness of data assets.

Required profile

• 3+ years of experience in Data Quality, QA, or Data Analysis roles.
• Expert‑level proficiency in SQL for data validation and analysis.
• Hands‑on experience with data quality frameworks (Great Expectations preferred).
• Strong experience with Python for data validation, automation, or analysis.
• Experience building or maintaining test automation frameworks for data pipelines.
• Strong attention to detail with a focus on data accuracy and reliability.
• Ability to work in cross‑functional environments and collaborate effectively with engineering and analytics teams.

Required skills

• SQL
• Python
• Great Expectations
• Test automation frameworks
• Data profiling

What we offer

• Learning opportunities: certifications in AWS, Databricks, Snowflake, and access to Udemy Business.
• Travel opportunities to attend industry conferences and meet clients.
• Mentoring and career development programs.
• Celebrations and personal milestone rewards.
• Flexible working options and company‑provided equipment.