Data QA Engineer

About SunnyData At SunnyData, a leading DataBricks technology partner, our mission is to empower customers with scalable architectures, robust data engineering pipelines, seamless data consumption layers, and advanced ML and AI applications. As a Data QA Engineer with a strong focus on Data, you will understand requirements and translate them into effective test cases, execute and automate those tests, and track testing progress and defects.   The Impact You’ll Have - Understand requirements and translate them into test plans and test cases, ensuring requirements traceability. - Help ensure the quality and reliability of our data by testing data pipelines, transformations, databases, and data-driven applications, identifying potential issues and validating data accuracy, consistency, and integrity. - Execute test cases, including regression testing, and document results and testing progress. - Document, track, and validate the resolution of software defects in collaboration with Engineering. - Work with business stakeholders to clarify requirements and address testing-related questions. - Collaborate with engineers to investigate defects and determine the right solutions. - Validate data across applications, APIs, databases, and data pipelines to ensure accuracy, consistency, and integrity. - Establish and document testing processes, standards, and best practices. - Contribute to continuous improvement of testing processes and data quality. - Leverage AI tools to improve automation efficiency, data validation, and test coverage. - Collaborate with Engineering and Data teams to ensure high-quality software and reliable data.   What We Look For - 4+ years of experience in Quality Assurance. - Data Testing Experience: Experience testing data pipelines, data transformations, databases, or data-driven applications, with the ability to validate data accuracy, consistency, and integrity. - Hands-on experience with test automation using Playwright and/or Cypress. - Strong SQL skills and experience validating data in databases. - Experience testing APIs and data-driven applications. - Understanding of data quality, consistency, and integrity. - Experience with GitHub and CI/CD pipelines. - Cloud experience is a plus. - Strong analytical and problem-solving skills. - Strong attention to detail and ability to effectively document, troubleshoot, and communicate defects and test results. - Strong organizational skills, with the ability to manage multiple testing initiatives and drive them to completion. - Proactive mindset, with the ability to anticipate risks and identify opportunities to improve automation, test coverage, and overall efficiency. - Strong written and verbal communication skills, with the ability to build positive relationships with internal teams and external partners. - Interest and experience in leveraging AI tools to improve automation efficiency, data validation, and test coverage. …