Senior Quality Assurance Engineer

Job Opportunity: Senior Quality Engineer - Data Pipelines (PySpark/Databricks)Sourcebaeis looking for a highly technical and hands-onSenior Quality Engineer (SDET)to specialize inData Validation and Pipeline Testing . This is a heavy-weight testing role that requires strong coding fundamentals in the modern data engineering stack.Note :- “Only candidates who can join immediately or are currently serving their notice period are eligible to apply.”Apply Now:Send your resume toaman_sariyam@Role & Requirements Snapshot Job Title:Senior Quality Engineer (Data Pipeline SDET) Experience:7 – 11 Years (Targeting 5-7 years of relevant hands-on experience) Location (Onsite):Indore / Pune / Bengaluru / Chennai Compensation:Highly Competitive Availability:Immediate Joiners or those currently serving notice.Technical Skills (Must-Have Coding Fundamentals) We are looking for hands-onindividual contributorswho can code and deeply understand data engineering concepts. Core Coding:Expert-level proficiency inPySpark/Pythonfor writing and executing validation code. Wecannotteach coding fundamentals. Data Platform:Hands-on experience withDatabricksenvironments. Pipeline Tools:Experience withAzure Data Factoryfor pipeline setup and execution context. DevOps:Familiarity withAzure DevOpsfor CI/CD integration and pipeline management. Data Validation:StrongSQLknowledge for data integrity checks and complex query validation.Key Responsibilities :- This role is focused on heavy-weight execution and validation—work similar to a data developer but with a quality focus. Data Validation:Primarily responsible for testing and validating complexdata transformationsand data quality built by other Data Engineers. Execution & Review:Focus on test execution, pipeline review, and ensuring high-quality data output. SDET Processes:Implementing and maintaining automated validation scripts within the CI/CD pipeline. Team Contribution:Act as anIndividual Contributorwith an aptitude for leadership/mentoring to potentially guide future scaling. Collaboration:Working closely with Data Engineers and the development team to review system design and data architecture for effective test coverage. Note:This role is focused purely on data validation and pipeline testing,nottraditional web or API automation (Selenium, Rest Assured).Why Join Sourcebae? Be a critical part of a team focusing on data quality at the source, ensuring reliable data transformations for business insights. If you are a strongPython/PySparkcoder with a passion for data quality, we want to hear from you!To Apply:Send your updated resume toaman_sariyam@with the subject line "Application: Senior QE - Data Pipeline." Linkdin :-

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