{"id":2277747,"url":"https://alion.io/job/capgemini-senior-data-tester","title":"Senior Data Tester","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":81,"open_postings":1748,"ghost_share":0,"stale_share":0.761,"repost_share":0.001,"time_to_fill_p50_days":27,"computed_at":"2026-10-12T06:55:09Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":10000,"max_usd":25000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-05T12:37:57Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-12T18:44:06Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\nYour Role\nPerform ETL, Data Warehouse, and Big Data testing for complex enterprise applications.\nValidate source-to-target data mappings, transformations, and business rules.\nExecute data quality, reconciliation, regression, and end-to-end testing.\nDevelop and execute complex SQL queries for data validation and analysis.\nCollaborate with developers, data engineers, and business stakeholders to ensure data accuracy.\nYour Profile\n6-10 years of experience in ETL, Data Warehouse, or Big Data Testing.\nStrong hands-on expertise in SQL, PL/SQL, Joins, CTEs, and Window Functions.\nExperience with PySpark, Spark SQL, Hive, Hadoop, or Databricks.\nStrong understanding of data validation, reconciliation, and data quality testing.\nExperience in automation of data testing and defect lifecycle management.\nWhat you will love working at Capgemini\nLarge-scale Data Warehouse and Big Data transformation programs.\nModern cloud and analytics platforms using Databricks and Spark.\nEnd-to-end ownership of critical data quality initiatives.\nCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. 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