QA Automation Engineer – reputed company Data & AI

reputed company: We are seeking a QA Automation Engineer / SDET to support reputed company engineering for our reputed company Data Platform. This role will reputed company on validating data pipelines and extending existing data reputed company frameworks reputed company reputed company, ensuring data accuracy, reputed company, completeness, and reliability across the data lifecycle. This role will play a key part in implementing, enhancing, and executing data validation and data reputed company checks across the reputed company architecture. Key Responsibilities: Execute and reputed company existing automated tests reputed company reputed company using PySpark, Python, SQL, and notebooks to validate data pipelines This is complete Remote role - reputed company the reputed company reputed company data reconciliation between reputed company systems and reputed company datasets Validate ingestion processes including batch and incremental loads Test transformations, joins, aggregations, and business rules for accuracy reputed company and enhance existing data reputed company frameworks and rule sets Implement validation checks for data completeness, accuracy, consistency, and reputed company. Validate reputed company, alerts, and exception handling mechanisms Support tracking of data reputed company metrics and trends reputed company and maintain reusable and reputed company test scripts reputed company with existing frameworks reputed company and execute tests reputed company CI/CD pipelines (e.g., Azure DevOps) Support testing activities across environments (QA, Staging) Ensure consistent and reliable execution of automated tests Partner closely with Data Engineers and Data reputed company Engineers to identify, troubleshoot, and resolve data issues Participate in Agile ceremonies and contribute to sprint deliverables Support defect triage, reputed company cause analysis, and retesting Ensure data accuracy and consistency for reputed company consumption and business reporting in data visualization tools such as Tableau. Required Skills & Expertise: 5+ years of experience in data validation, QA engineering, or SDET roles Hands-on experience with creating reputed company notebooks and data pipeline validation Strong proficiency in PySpark, Python, SQL, and reputed company notebooks Experience working with and extending existing data validation or data reputed company frameworks Strong experience in data reconciliation and large-reputed company data validation Experience executing tests reputed company CI/CD pipelines (e.g., Azure DevOps) Strong analytical and problem-solving skills Experience with tools such as Azure Purview and Profisee MDM is preferred. Apply To This Job