QA engineer - Java automation and Data Validation - Onsite

• Design, develop, and maintain automated test frameworks and test scripts using Java and industry-standard automation tools.
• Execute functional, regression, integration, and end-to-end testing for web and backend applications.
• Perform comprehensive data validation and data reconciliation across databases, APIs, ETL processes, and downstream systems.
• Create and execute SQL queries to validate data accuracy, completeness, and consistency.
• Analyze business and technical requirements and develop detailed test plans, test cases, and test scenarios.
• Identify, document, track, and verify defects through resolution.
• Collaborate with development teams to troubleshoot issues and improve application quality.
• Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives.
• Ensure testing best practices, standards, and processes are followed throughout the software development lifecycle. Generate test execution reports and provide quality metrics to project stakeholders.

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in Quality Assurance and Software Testing.
• Strong hands-on experience with Java-based automation frameworks.
• Experience with automation tools such as Selenium, TestNG, JUnit, or similar technologies.
• Strong SQL skills with experience validating large datasets across relational databases.
• Experience in data validation, ETL testing, data migration testing, and backend testing.
• Knowledge of API testing using tools such as Postman, REST Assured, or similar.
• Experience working with defect management tools such as Jira.
• Strong analytical, problem-solving, and communication skills.
• Experience working in Agile/Scrum environments.

Preferred Qualifications

• Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience in Banking, Financial Services, Healthcare, or Retail domains.
• Familiarity with data warehousing concepts and ETL tools.
• Exposure to performance and load testing methodologies.

Technical Skills

• Programming: Java
• Automation Tools: Selenium, TestNG, JUnit, REST Assured
• Databases: Oracle, SQL Server, PostgreSQL, MySQL
• Data Validation: SQL, ETL Testing, Data Migration Testing, Data Reconciliation
• API Testing: Postman, REST Assured
• Version Control: Git
• Defect Tracking: Jira
• CI/CD: Jenkins, GitLab CI/CD, Azure DevOps