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Mid-level, common QA/database-testing role with mandatory SQL yields moderate applicant competition.
Core SQL and ETL skills are transferable across industries, though PNR-specific data flows raise domain sensitivity.
Explicit 6–10 years plus mandatory SQL, backend testing, and AWS data validation increases strictness.
Lead database testing initiatives focusing on backend data validation and reconciliation, including file-to-file comparisons and validation of data pipelines.
Execute volume testing and validate large datasets from AWS sources ensuring accurate data transformation and PNR creation.
Perform API testing to cross-verify responses with database data, while coordinating with development, data engineering, and QA teams and reviewing test strategies.
6–10 years of experience in Database / Backend Testing; experience in a lead role preferred.
Strong expertise in SQL and writing complex queries involving joins, aggregations, and subqueries.
Hands-on experience with volume testing, large data set validation, and data migration/ETL validation.
Experience with database platforms such as Oracle, SQL Server, PostgreSQL, or MySQL and AWS data validation.
Experienced in leading database testing teams and mentoring testers, indicating managerial responsibilities.
Strong analytical skills with ability to handle large, complex datasets and validate data integrity across systems.
Proficient in API testing tools (Postman, Swagger) and comfortable coordinating across multidisciplinary teams (development, QA, data engineering).