Project description
We are looking for an experienced Database Testing Lead with strong expertise in SQL-based backend validation. The candidate will be responsible for validating large data sets, performing file-to-file reconciliation, volume testing, and ensuring accurate data validation from AWS sources to downstream systems (including PNR creation from PID data). API testing experience is required as a secondary skill.
Responsibilities
- Lead testing efforts for large-scale data transformation and migration initiatives involving millions of records across enterprise Network Operation platforms.
- Design and execute comprehensive data validation strategies to ensure data accuracy, completeness, consistency, and integrity during migrations.
- Develop complex SQL queries and automated validation scripts to reconcile source and target systems at scale.
- Validate ETL/ELT processes, transformation rules, data mappings, and business logic across multiple data domains.
- Perform end-to-end testing of batch, real-time, and incremental data migration workflows.
- Identify, analyze, and troubleshoot data quality issues, migration defects, duplicates, missing records, and transformation anomalies.
- Collaborate closely with data engineers, architects, business analysts, and application teams to define test strategies and acceptance criteria.
- Generate detailed data quality metrics, reconciliation reports, and migration readiness assessments for stakeholders.
- Drive best practices in database testing, automation, and data quality engineering to ensure successful delivery of enterprise migration programs
- Coordinate with development, data engineering, and QA teams
- Review test cases, test strategies, and defect tracking
SKILLS
Must have
- · Strong experience in Database Testing using SQL
· Experience in AI-driven test automation
· Expertise in writing complex SQL queries (joins, aggregations, subqueries)
· Experience in File-to-File Data Validation
· Hands-on experience with Volume Testing / Large Data Set Validation
· Experience in data reconciliation and backend testing
· Ability to validate data pipelines and data transformations
· Experience validating data flow between systems and databases
· Strong understanding of data integrity, accuracy, and consistency checks
Technical Skills:
· SQL (Mandatory)
· Database platforms such as Oracle, SQL Server, PostgreSQL, or MySQL
· AWS data validation
· Experience working with large data volumes
· Knowledge of data migration and ETL validation
Nice to have
• API Testing using tools such as Postman, Swagger, or similar tools
• Understanding of REST APIs and HTTP methods (GET, POST, PUT, DELETE)
• Ability to validate API responses with database data
• Knowledge of JSON/XML validation