Job Description

·      We are looking for a detail-oriented QA Automation Engineer with strong expertise in test automation and data testing. 

·      The ideal candidate will be responsible for ensuring data accuracy, system reliability, and high-quality deliverables through robust automated testing frameworks and practices. 

Key Responsibilities 

·      Quality Assurance & Testing Ensure data correctness, pipeline reliability, and regression stability across environments Define and implement data testing strategies aligned with best practices 

·      Develop and execute test cases for functional, regression, integration, and performance testing Design, develop, and maintain automated test scripts

·       Automation & Technical Excellence Build and maintain test automation frameworks 

·      Integrate continuous testing within CI/CD pipelines Identify automation opportunities and drive test automation initiatives Conduct code reviews and ensure adherence to coding standards 

·      Collaboration & Reporting Work closely with developers, business analysts, and stakeholders 

·      Document test plans, strategies, and results 

·      Provide clear reporting on defects, quality metrics, and testing progress 

·      Participate in Agile/Scrum ceremonies 

Required Qualifications & Experience 

·      Bachelor’s degree in Computer Science / IT / Engineering or related field 3–5 years of experience in QA and Test Automation Proven experience in developing and executing automated test scripts 

·      Technical Skills Strong experience with automation tools: Selenium, Appium, TestNG, JUnit, Pytest 

·      Proficiency in programming: Python, Java, or JavaScript 

·      Experience in data testing and validation Knowledge of CI/CD tools (Jenkins, GitLab CI, Azure DevOps) 

·      Experience with API testing (Postman, REST Assured) 

·      Hands-on with Git version control Strong knowledge of SQL and database testing 

Preferred Qualifications 

·      Experience with performance testing tools (JMeter, LoadRunner) 

·      Exposure to cloud platforms (AWS, Azure, GCP) 

·      Familiarity with Docker and Kubernetes Experience in ETL / data pipeline testing ISTQB or equivalent QA certification 

·      Experience working in Agile/Scrum environments