Work Hard EverywhereJob Description
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 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.
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The Impact Youâll Have
- Understand requirements and translate them into test plans and test cases, ensuring requirements traceability.
- 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.
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What We Look For
- 4+ years of experience in Quality Assurance.
- 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...
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 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.
Â
The Impact Youâll Have
- Understand requirements and translate them into test plans and test cases, ensuring requirements traceability.
- 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.
Â
What We Look For
- 4+ years of experience in Quality Assurance.
- 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...