For an international project in Chennai, we are urgently looking for a Senior QA Test Engineer.
We are looking for a motivated contractor. This position is long-term. Candidates need to be fluent in English.
Tasks and responsibilities:
- Collaborate with business analysts, data architects, and developers to understand migration/integration requirements and data flows;
- Define a comprehensive test strategy tailored to data migration and integration;
- Create a detailed QA test plan covering functional, non-functional, regression, and reconciliation testing;
- Identify and document test environments, test tools, data sets, and dependencies;
- Data completeness checks;
- Referential integrity checks;
- Prepare synthetic and anonymized test data where needed;
- Document expected results for each test case, including SQL validation scripts;
- Execute manual and automated tests for migration batches and integration workflows;
- Use SQL queries, ETL tool logs, API response validations, and reconciliation reports to verify requirements;
- Perform volume/stress testing for large data sets and high-frequency integrations;
- Validate incremental loads, delta migrations, and real-time sync behavior;
- Test rollback and recovery procedures for failed migrations or integrations;
- Log defects in the defect tracking tool (e.g., Jira, Azure DevOps, HP ALM) with detailed root cause evidence;
- Reconcile row counts and key business metrics pre- and post-migration;
- Perform cross-application consistency checks for integrated data;
- Verify audit trails, logging, and monitoring mechanisms;
- Validate data security, masking, and compliance requirements;
- Design and implement automated validation scripts in SQL, Python, or using QA automation tools;
- Optimize regression testing using automation frameworks;
Profile:
- +8 years’ experience in a development /testing role;
- Experienced IT professional working on large data and reporting applications as well a strong understanding of Operational data stores, Data Warehouses and/or Data Mart;
- Strong SQL query skills for complex data validation and reconciliation;
- Deep understanding of ETL processes, data models, and API integrations;
- Familiarity with data profiling, cleansing, and quality tools;
- Proficiency in QA tools (HP ALM, Jira, Azure DevOps, Selenium, etc.);
- Knowledge of data governance, data privacy regulations (GDPR, HIPAA, etc.);
- Strong troubleshooting and defect analysis skills;