{"id":4346132,"url":"https://alion.io/job/wipro-test-engineer-l3-34","title":"TEST ENGINEER L3","company":{"id":224,"name":"Wipro","domain":"wipro.com","url":"https://alion.io/company/wipro","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"QA","role_family":"QA","seniority":"middle","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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Linux","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"Selenium","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-15T21:50:38Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T21:52:50Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.Job Description\nJob Summary\nWe are looking for an experienced Big Data QA Engineer with strong expertise in validating large-scale data pipelines, ETL processes, and data platforms. The ideal candidate should possess hands-on experience in Big Data testing, data quality validation, SQL, PySpark, Hadoop ecosystem, and automation testing. The role involves ensuring the accuracy, completeness, and reliability of data across enterprise-scale data platforms.\nMandatory Skills\nBig Data Testing\nSQL\nETL Testing\nPySpark\nHadoop Ecosystem\nHive\nHDFS\nData Validation & Data Quality Testing\nUnix/Linux\nTest Planning & Test Case Design\nDefect Tracking (JIRA)\nGit\nGood to Have\nScala\nDatabricks\nKafka\nAirflow\nSpark Streaming\nSnowflake\nPython Automation\nSelenium\nCloud Platforms (AWS/Azure/GCP)\nPerformance Testing\nGenAI-assisted Testing Tools\nKey Responsibilities\nValidate ETL pipelines and large-scale data processing workflows.\nPerform source-to-target reconciliation and data integrity testing.\nCreate and execute test cases for data migration and transformation requirements.\nValidate data quality, completeness, and accuracy across multiple systems.\nExecute SQL and PySpark-based validation scripts.\nTest batch and real-time data processing platforms.\nWork closely with data engineers, business analysts, and developers.\nAutomate repetitive data validation and regression testing processes.\nIdentify, track, and resolve defects throughout the testing lifecycle.\nRequired Qualifications\nBachelor's degree in Computer Science, IT, Engineering, or related field.\n4+ years of experience in Big Data/Data Warehouse Testing.\nStrong expertise in SQL, ETL Testing, and Data Validation.\nHands-on experience with Hadoop, Hive, Spark, or Databricks.\nExperience working with large datasets and complex data transformations.\nStrong analytical and problem-solving skills.\nPreferred Experience\nData Lake and Data Warehouse testing.\nReal-time data validation using Kafka/Spark Streaming.\nCloud data platform testing on AWS, Azure, or GCP.\nAutomation framework development for data validation.\nK͏ey responsibilities\nValidate ETL pipelines and large-scale data processing workflows.\nPerform source-to-target reconciliation and data integrity testing.\nCreate and execute test cases for data migration and transformation requirements.\nValidate data quality, completeness, and accuracy across multiple systems.\nExecute SQL and PySpark-based validation scripts.\nTest batch and real-time data processing platforms.\nWork closely with data engineers, business analysts, and developers.\nAutomate repetitive data validation and regression testing processes.\nIdentify, track, and resolve defects throughout the testing lifecycle.\n͏\n͏\n͏\nMandatory Skills: Product Test Automation.Experience: 3-5 Years\n.Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. 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