{"id":3090647,"url":"https://alion.io/job/infosys-bpm-qa-etl-test-engineer","title":"QA / ETL Test Engineer","company":{"id":1960,"name":"Infosys BPM","domain":"infosysbpm.com","url":"https://alion.io/company/infosys-bpm","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"QA","role_family":"QA","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Jenkins","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-10-22T14:35:30Z","employer_posted_date":null,"last_verified_at":"2026-10-22T14:35:30Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are seeking an experienced QA / ETL Test Engineer with 5+ years of expertise in ETL Testing, Python, Kafka, Data Validation, and AI-enabled Quality Engineering. The ideal candidate will be responsible for validating data pipelines, testing Kafka-based data streams, developing automation solutions using Python, and leveraging AI-powered tools to improve testing efficiency, coverage, and defect detection.\n\nResponsibilities: \nPerform ETL Testing, data reconciliation, and end-to-end data validation.\nValidate data movement across source systems, ETL processes, Kafka streams, and target databases.\nDevelop and maintain test automation scripts using Python.\nTest and monitor Kafka producers, consumers, topics, and message flows.\nPerform SQL-based data verification and database testing.\nIntegrate test automation into CI/CD pipelines and Agile delivery processes.\nUtilise AI-assisted testing tools and Generative AI for test case generation, test data creation, defect analysis, and test optimisation.\nCollaborate with developers, data engineers, and business stakeholders to ensure data quality and reliability.\n\nRequirements: \n5+ years of experience in ETL Testing and Data Validation.\nStrong hands-on experience with Python, SQL, and Kafka.\nExpertise in testing data warehouses, ETL pipelines, and large datasets.\nExperience with automation frameworks and scripting.\nKnowledge of REST API Testing and CI/CD tools (Jenkins, Git, Azure DevOps, etc. ).\nFamiliarity with Agile and DevOps methodologies.\nExposure to AI-powered testing tools, Microsoft Copilot, GitHub Copilot, or similar AI solutions.\n\nPreferred Skills: \nFinance / Banking / Wealth Management domain experience preferred.\nExperience with data migration, data warehousing, and cloud data platforms.\nKnowledge of AI/ML concepts for test optimisation and predictive quality analytics.\n\nProfessional Attributes: \nStrong analytical and problem-solving skills.\nExcellent communication and stakeholder management abilities.\nAbility to work independently and within cross-functional teams.\nProactive mindset with a focus on quality and continuous 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