Data QA Engineer

About the Position

We are seeking a Data QA Engineer to validate regulatory data extracts and ensure compliance through Snowflake-based data quality and ETL testing.

Responsibilities

• Validate NCUA compliance extract files (e.g. regulatory data submissions, or NCUA-mandated extracts).
• Design and execute SQL queries in Snowflake to confirm data consistency, completeness, and accuracy.
• Validate data transformations, mappings, and business rules across source systems and downstream layers.
• Conduct root-cause analysis for data quality issues and work with engineering teams to resolve defects.
• Perform regression, functional, and end-to-end data validation for new releases.

Regulatory & Compliance Support

• Ensure extract files meet NCUA schema, formats, threshold checks, and validation criteria.
• Collaborate with compliance, risk, and data governance teams to interpret NCUA requirements into testable validation logic.
• Document test cases aligned with regulatory specifications and audit standards.

Collaboration & Documentation

• Partner with data engineering teams to review data models, mapping documents, and ETL logic.
• Create, maintain, and standardize QA documentation, including test plans, test scripts, and defect logs.
• Communicate QA findings, data issues, and risks to technical and business stakeholders.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field.
• 3+ years of experience in Data Quality, Data QA, or ETL Testing.
• Strong hands-on experience with SQL, specifically in Snowflake.
• Experience validating regulatory or compliance data files-preferably NCUA, financial regulatory filings, or call report datasets.
• Solid understanding of ETL pipelines, data warehousing concepts, and data validation methodologies.
• Experience with data comparison tools, QA frameworks, and automation scripting.
• Strong attention to detail and ability to work in a fast-paced environment.

Preferred Qualifications

• Experience with credit union, banking, or financial services datasets.
• Familiarity with data governance principles (DQ rules, lineage, profiling).
• Knowledge of Snowflake performance tuning and optimization.
• Experience with test automation tools or building automated SQL validation scripts.

Job Details

• Employment Type: Full Time
• Timing: 3:00 AM to 12 Noon PST
• Work Mode: On-site
• Experience: 3-5 years
• Location: Chennai, India

We Offer

• Competitive salary
• Opportunity to work in a dynamic and growing fintech company
• Professional growth and development opportunities

About the Company

[Company description if present]