Data QA Engineer
Sunnydata
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This role on the market
7,267 open data roles across 646 companies are on ApplySarthi right now, most of them in Bengaluru (415), Hyderabad (313), Mumbai (155).
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What data roles keep asking for: AWS (24%), SQL (22%), Python (22%) — counted across their open postings here.
CI/CD jobs · Cypress jobs · Databricks jobs · Playwright jobs
Sunnydata has 34 open roles listed here.
- Technical Project Manager
- Technical Project Manager
- Technical Project Manager
- Sr Data Engineer | Databricks Experience
- Sr Data Engineer | Databricks Experience
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to AWS, SQL, Python. Practise those questions before you sit with Sunnydata.
Questions you are likely to be asked
- Why do you want to join Sunnydata?
- What is your experience with CI/CD? Tell me one thing you learned the hard way.
- How do you decide what to test when time is short?
- Tell me about a serious bug you caught before release. How did you find it?
- What would you automate first, and what would you keep manual?
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Practise the Data QA Engineer at Sunnydata interview free →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. Ability to work collaboratively in a fast-paced environment. Education: Bachelor’s Degree in Computer Science, Systems Engineering, Information Technology, Software Engineering, or a related technical field. Our Commitment to Diversity and Inclusion: SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic. Why Join SunnyData? Innovative Environment . Work with cutting-edge technologies and industry leaders in data engineering and AI. Customer Impact. Make a real difference in how businesses leverage data for strategic decision-making. Career Growth . Opportunities for professional development and career advancement. Collaborative Culture . Join a supportive team that values collaboration and knowledge sharing.
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Listed on ashby · posted 2026-09-03. ApplySarthi collects openings and links to application pages; the role is advertised by Sunnydata, not by us.