We are seeking a detail-oriented and skilled QA/Test Engineer with strong experience in Data Reconciliation, API Testing, SQL, and Playwright Automation. The ideal candidate will be responsible for validating data pipelines, ensuring data accuracy across source and target systems, automating test scenarios, and maintaining high-quality standards for data-driven applications and platforms.

Key Responsibilities

Design, develop, and execute comprehensive test plans, test cases, and test scripts.

Perform end-to-end validation of data pipelines and ETL/ELT processes.

Conduct data reconciliation testing between source systems, data warehouses, and downstream applications.

Validate data completeness, consistency, accuracy, and integrity across multiple systems.

Develop and maintain automation frameworks using Playwright.

Perform API testing using Postman, REST Assured, Swagger, or similar tools.

Write complex SQL queries for data validation, reconciliation, and defect analysis.

Identify, document, track, and verify defects throughout the software development lifecycle.





Collaborate with Data Engineers, Developers, Product Owners, and Business Analysts to understand requirements and validate data flows.

Implement automated reconciliation checks and reporting mechanisms.

Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.

Contribute to CI/CD test automation pipelines and quality engineering best practices.

Required Skills

Testing

Solid experience in Manual and Automated Testing.

Experience in Functional, Regression, Integration, System, and End-to-End Testing.

Understanding of QA methodologies, test design techniques, and defect management processes.

Data Reconciliation

Strong experience in validating large volumes of data across multiple systems.

Expertise in reconciling source-to-target data migrations and ETL processes.

Experience identifying data mismatches, duplicate records, and transformation issues.

SQL & D

📌 Qa Engineer (Pune)
🏢 Nitor
📍 Pune