QA Engineer - Databricks

Skip to main content Go to homepage Menu Saved Jobs (0) EN Filter Languages English English Canadian Français Canadian French View all jobs Search Jobs Find jobs for Location Radius miles 5 miles 15 miles 25 miles 35 miles 50 miles Search QA Engineer - Databricks Bengaluru, India; Gurugram, India Apply now Save job Posted 07/16/2026 Job reference 14055 Experience level Experienced Hire Job category Engineering & Technology Line of business Data Estate At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies3- 6 years of experience in Software Quality Assurance or Data Quality Engineering within large-scale enterprise data platformsStrong hands-on experience with Databricks SQL and Python, including testing of notebooks, workflows, and scheduled jobsSolid understanding of Medallion architecture (Bronze, Silver, Gold) and data lifecycle validation practicesExpertise in PySpark for data validation, test automation, and building scalable testing frameworksStrong proficiency in SQL and data validation techniques across dataset, record, schema, and transformation levelsExperience designing integration, end to end, and regression testing strategies with an automation first mindsetExperience working in Agile or Scrum environments with tools such as Xray for test management and Jira for defect trackingDemonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.EducationBachelor’s degree in Computer Science, Information Technology, Engineering, or a related fieldResponsibilitiesEnsure data quality, reliability, and correctness across large scale Databricks batch pipelines through automated validation and testing practices.Own end to end data quality validation for Databricks pipelines across Bronze, Silver, and Gold layersValidate data completeness, accuracy, consistency, timeliness, and business rule correctness using Databricks SQL and Delta tablesPerform dataset, record, schema, and transformation level validations including source to target mapping and derived field checksDesign, develop, and maintain reusable and scalable data validation frameworks using PySpark and Python on DatabricksAutomate integration, regression, and end to end testing for notebooks, workflows, and scheduled jobsDefine and implement test data management strategies including data refresh, masking, and environment isolationManage test...