Job Description

We are looking for a detail-oriented QA Engineer to ensure the quality and accuracy of data migration projects. The ideal candidate will be responsible for validating data integrity, testing migration processes, and identifying discrepancies or issues. This role requires expertise in QA methodologies, strong analytical skills, and familiarity with data migration processes and tools. Key Responsibilities Data Validation and Testing: Develop and execute comprehensive test plans and test cases to validate data migration processes. Ensure data integrity, accuracy, and consistency across source and target systems. Perform pre and post-migration data checks to verify successful migration. Test Automation Design and implement automated test scripts for data validation and reconciliation. Use appropriate tools to streamline testing processes and reduce manual effort. Defect Identification and Resolution Identify, document, and report issues or discrepancies in the data migration process. Collaborate with development teams to troubleshoot and resolve data-related defects. Collaboration and Communication Work closely with data engineers, business analysts, and stakeholders to understand migration requirements and objectives. Provide regular updates on testing progress, results, and identified risks. Process Improvement Recommend and implement best practices for data migration testing and validation. Continuously improve QA processes to enhance efficiency and effectiveness. Documentation Maintain clear and detailed documentation of test plans, test cases, and test results. Ensure proper tracking and reporting of issues using defect management tools. Requirements Bachelors degree in Computer Science, Information Technology, or a related field. 3+ years of experience in quality assurance or data testing, preferably in data migration projects. Strong knowledge of SQL for querying and validating data. Familiarity with data migration tools and ETL processes (e.g., Informatica, Talend, or similar). Hands-on experience with test automation tools (e.g., Selenium, TestNG, or similar). Understanding of data governance, privacy, and security principles. Strong analytical skills with attention to detail. Excellent communication and collaboration abilities. Preferred Qualifications: Experience with cloud-based data migration (e.g., AWS, Azure, GCP). Familiarity with big data frameworks and tools (e.g., Hadoop, Spark). Knowledge of Agile methodologies and tools like Jira or Confluence.

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.



Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.



Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.