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We are looking for a detail-oriented QA Engineer with strong expertise in data validation, ETL/ELT testing, and SQL. The ideal candidate should have experience ensuring data quality across complex data pipelines while working with modern cloud and automation technologies.\n\n\nLocation Bengaluru\nYour Future Employer A leading technology consulting organization specializing in AI, analytics, cloud, and data engineering solutions for global enterprises.\nResponsibilities \n\n\n\nPerform data validation and quality assurance across ETL/ELT pipelines using SQL and automated testing frameworks.\nValidate data integrity, schema evolution, and CDC processes to ensure accurate and reliable data movement.\nDevelop and maintain automated test scripts using Python or similar technologies.\nCollaborate with data engineering teams to identify, troubleshoot, and resolve data quality issues.\nEnsure robust testing practices across cloud-based data platforms while supporting continuous delivery initiatives.\n\nRequirements \n\nStrong hands-on experience with SQL, data validation, and ETL/ELT testing.\nExperience with test automation using Python or similar programming languages.\nGood understanding of data quality concepts, CDC patterns, schema evolution, and data integrity principles.\nExposure to AWS services such as Glue, Lambda, Step Functions, DMS, or similar cloud technologies is preferred.\nExperience with PostgreSQL/Aurora, Kafka, Docker, Kubernetes, or financial data systems will be an added advantage.\n\nWhat is in it for you:\n\nOpportunity to work on enterprise-scale data engineering and AI initiatives.\nExposure to modern cloud technologies and advanced data platforms.\nCollaborative work setting with continuous learning opportunities.\nFast-paced, innovation-driven culture with excellent career growth.\nCompetitive compensation and exposure to global enterprise projects.\n\nReach us:\nIf you think this role is aligned with your career aspirations, kindly share your updated CV for a confidential discussion at \nDisclaimer:\nWe specialize in Senior to C-level niche recruitment and are committed to providing an equal opportunity hiring process. We do not discriminate on the basis of race, religion, gender, age, disability, or any other protected status.\nNote :\nDue to the high volume of applications, only shortlisted candidates will be contacted. If you do not hear from us within one week, please consider that your profile has not been shortlisted for this opportunity.\nProfile Keywords :\nQA Engineer, Data QA, ETL Testing, ELT Testing, SQL, Python, Data Validation, Data Quality, AWS Glue, AWS Lambda, Kafka, PostgreSQL, Docker, Kubernetes, Data Engineering, Bengaluru Jobs, Crescendo Global. We are looking for a detail-oriented QA Engineer with strong expertise in data validation, ETL/ELT testing, and SQL. The ideal candidate should have experience ensuring data quality across complex data pipelines while working with modern cloud and automation technologies.\n\n\nLocation Bengaluru\nYour Future Employer A leading technology consulting organization specializing in AI, analytics, cloud, and data engineering solutions for global enterprises.\nResponsibilities \n\n\n\nPerform data validation and quality assurance across ETL/ELT pipelines using SQL and automated testing frameworks.\nValidate data integrity, schema evolution, and CDC processes to ensure accurate and reliable data movement.\nDevelop and maintain automated test scripts using Python or similar technologies.\nCollaborate with data engineering teams to identify, troubleshoot, and resolve data quality issues.\nEnsure robust testing practices across cloud-based data platforms while supporting continuous delivery initiatives.\n\nRequirements \n\nStrong hands-on experience with SQL, data validation, and ETL/ELT testing.\nExperience with test automation using Python or similar programming languages.\nGood understanding of data quality concepts, CDC patterns, schema evolution, and data integrity principles.\nExposure to AWS services such as Glue, Lambda, Step Functions, DMS, or similar cloud technologies is preferred.\nExperience with PostgreSQL/Aurora, Kafka, Docker, Kubernetes, or financial data systems will be an added advantage.\n\nWhat is in it for you:\n\nOpportunity to work on enterprise-scale data engineering and AI initiatives.\nExposure to modern cloud technologies and advanced data platforms.\nCollaborative work environment with continuous learning opportunities.\nFast-paced, innovation-driven culture with excellent career growth.\nCompetitive compensation and exposure to global enterprise projects.\n\nReach us:\nIf you think this role is aligned with your career aspirations, kindly share your updated CV for a confidential discussion at \nDisclaimer:\nWe specialize in Senior to C-level niche recruitment and are committed to providing an equal opportunity hiring process. We do not discriminate on the basis of race, religion, gender, age, disability W
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