QA Engineer - Data Testing

About the Company

This organization operates within the software quality assurance industry, addressing challenges related to data accuracy and integrity in applications and databases. It focuses on ensuring reliable data validation and quality throughout data transformation and migration processes, supporting complex data workflows and ETL pipelines in a scalable and collaborative environment.

About the Role

The QA Engineer – Data Testing role is designed to ensure high-quality software through comprehensive testing of data accuracy, completeness, and consistency. This position is responsible for validating data across systems, executing SQL queries for backend testing, and participating in the full testing lifecycle to identify and resolve defects. The role contributes to maintaining data integrity and supports continuous quality improvements within Agile teams.

Responsibilities

• Perform functional, regression, integration, and end-to-end testing.
• Validate data accuracy, completeness, consistency, and integrity across applications and databases.
• Write and execute SQL queries for data validation and backend testing.
• Conduct ETL and data pipeline testing to verify data transformation and migration.
• Identify, document, track, and manage defects throughout the testing lifecycle.
• Collaborate with developers, business analysts, and data engineering teams to resolve issues.
• Develop and maintain test plans, test cases, test scenarios, and test scripts.
• Participate in Agile ceremonies and contribute to continuous quality improvement.

Requirements

• 5 to 7 years of hands-on QA/testing experience.
• Strong knowledge of manual, functional, and regression testing.
• Proficiency in SQL and database testing.
• Experience with data validation, data quality testing, and ETL testing.
• Understanding of relational databases and data workflows.
• Experience with defect-tracking tools such as Jira.
• Strong analytical, problem-solving, and communication skills.
• Experience working in Agile/Scrum environments.
• Preferred: Exposure to automation testing tools like Selenium or Playwright.
• Preferred: Experience with data warehouses or cloud platforms such as Snowflake, Databricks, or AWS.
• Preferred: Familiarity with API testing tools such as Postman.