{"id":3958707,"url":"https://alion.io/job/nucleusteq-etl-bigdata-tester","title":"ETL/ Bigdata Tester","company":{"id":694295,"name":"NucleusTeq","domain":"nucleusteq.com","url":"https://alion.io/company/nucleusteq","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":75,"open_postings":12,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-09T06:03:00Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Indore, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Selenium","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-09T08:19:39Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T10:22:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking an experienced Big Data Test Automation Engineer to design, build, and maintain robust test automation frameworks across our large-scale data platforms and web applications. In this role, you will validate complex data pipelines (ETL/ELT), ensure high data integrity across distributed data stores, and automate both back-end data processing and front-end interface workflows using modern test frameworks.\nLocation: Indore, Gurugram, Raipur\nKey Responsibilities\nTest Framework Development: Design, implement, and maintain scalable test automation frameworks from scratch using Java and Python.\nETL & Big Data Validation: Formulate automated test suites to validate complex ETL pipelines, data transformations, data quality, data completeness, and schema migrations across distributed environments.\nUI & BDD Automation: Automate functional, regression, and end-to-end user workflows using Selenium WebDriver integrated with BDD Cucumber.\nService & Pipeline Testing: Build and execute test suites using Pytest for data scripts, API services, and scheduled pipeline jobs.\nDatabase & Query Verification: Author advanced SQL queries to extract, reconcile, and validate high-volume data sets across relational databases, data warehouses, and data lakes.\nFunctional & Integration Testing: Partner with product managers and data engineers to derive comprehensive test scenarios, edge cases, and acceptance criteria from functional requirements.\nCI/CD Integration: Integrate automated test suites into CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI) to ensure continuous quality gates across all release cycles.\nDefect Management: Identify, report, trace, and isolate defects using issue tracking tools (e.g., JIRA), performing thorough root cause analysis on pipeline or automation failures.\nRequired Qualifications\nExperience: 5 years of hands-on experience in Quality Assurance and Test Automation, with significant focus on Data Platform or Big Data testing.\nProgramming Languages: Strong proficiency in both Java and Python.\nAutomation Tools & Frameworks:\nHands-on expertise with Selenium WebDriver.\nStrong working knowledge of BDD frameworks (Cucumber / Gherkin syntax).\nDeep experience with Pytest for Python-based test development.\n\nDatabase & ETL Skills:\nAdvanced SQL skills (joins, window functions, aggregations, subqueries) for large-scale data validation.\nProven experience in ETL/ELT Testing, validating source-to-target data mappings, reconciliation, and schema integrity.\n\nTesting Methodologies: Solid foundation in Functional Testing, Regression Testing, End-to-End Testing, and Data Quality Assurance best practices.\nEducation: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline (or equivalent practical experience).\nWhy Join Us?\nWork on cutting-edge cloud data projects.\nLeadership opportunity with high ownership.\nDynamic and growth-oriented work 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