Senior Data QA Engineer (Data QA 2)

As a Senior Data QA Engineer (Data QA 2), you will play a critical role in ensuring the accuracy, integrity, and quality of enterprise data solutions supporting strategic client implementations and business initiatives.

Working closely with Data Engineers, Developers, Product Owners, and business stakeholders, you will validate complex data workflows, execute ETL testing, perform data quality analysis, and help deliver reliable data solutions that drive business outcomes.

Key Responsibilities:

• Perform data quality checks and validation on data received from multiple internal and external sources.
• Design and execute test strategies, test plans, test cases, and validation scenarios for data integration and ETL initiatives.
• Validate data across different stages of ETL and data processing pipelines.
• Write and execute SQL queries to verify data accuracy, completeness, consistency, and business rule compliance.
• Perform data reconciliation and identify discrepancies across source and target systems.
• Investigate, document, track, and verify defects through resolution using defect management tools.
• Execute regression, integration, and release validation testing activities.
• Maintain QA documentation, test evidence, validation results, and defect records.
• Collaborate with Data Engineers, Developers, Product Owners, and business stakeholders to ensure data quality requirements are met.
• Support continuous improvement initiatives related to testing processes, data quality standards, and QA best practices.
• Ensure compliance with organisational policies and procedures when handling sensitive and confidential healthcare data.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field.
• 4+ years of experience in Data Quality Assurance, Data Testing, ETL Testing, or Software Quality Assurance.
• Strong hands-on experience with SQL for data validation, testing, and analysis.
• Experience testing ETL processes, data migrations, data integration solutions, or data warehouse environments.
• Strong understanding of data validation techniques, data quality principles, and testing methodologies.
• Experience creating and executing test plans, test cases, and test scenarios.
• Experience working with defect tracking and test management tools.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience working with healthcare or regulated data environments.
• Experience with Jira, Azure DevOps, or similar defect management tools.
• Exposure to Agile/Scrum development methodologies.
• Experience validating large data sets and complex data transformations.
• Familiarity with data warehouse and reporting environments.