{"id":3316340,"url":"https://alion.io/job/luxoft-etldata-qa-engineer-immediate-joiner","title":"ETL/Data QA Engineer - Immediate Joiner","company":{"id":171185,"name":"Luxoft","domain":"luxoft.com","url":"https://alion.io/company/luxoft","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"B","score":84,"open_postings":9,"ghost_share":0,"stale_share":0.778,"repost_share":0.111,"time_to_fill_p50_days":19,"computed_at":"2026-11-01T06:10:25Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Jira","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-10-27T02:29:32Z","employer_posted_date":null,"last_verified_at":"2026-10-27T02:29:32Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Project Description:\nThe ETL/Data QA Engineer will be responsible for ensuring the accuracy, reliability, and quality of data processed through the organisation's data warehousing and integration platforms. Operating within established testing and governance frameworks, the engineer will validate ETL processes, conduct detailed source-to-target data verification, and contribute to continuous improvements in data quality practices. This role demands strong hands-on experience with Informatica PowerCenter, SQL, Python, and AI-driven automation, as well as the ability to collaborate effectively with cross-functional teams.\n\nResponsibilities:\nValidate ETL mappings, workflows, and transformations to ensure compliance with business and technical requirements.\nPerform source-to-target validation by conducting SQL-based data checks to verify completeness, accuracy, and data integrity.\nExecute ETL test cycles, including data-quality checks for both full and incremental data loads.\nLead defect triage sessions, facilitating timely resolution and communication among development, business, and QA teams.\nUtilize Informatica PowerCenter for ETL validation, debugging, and workflow monitoring.\nApply ETL and data-warehousing concepts, demonstrating a strong understanding of principles, architecture, and best practices.\nUse Unix/Linux commands for job monitoring, log analysis, and operational support.\nLeverage Python and AI expertise to support automation, data validation, and advanced testing scenarios.\nAnalyze and document test data, results, and recommendations to aid decision-making.\nSupport integrated testing by creating and maintaining test data, training data, and automated scripts.\nDrive continuous improvement by reviewing testing processes and recommending enhancements.\n\nMandatory Skills Description:\nBachelor's Degree in IT, Business, Computer Science, or a related field\nSoftware Quality Assurance professional with 5 to 8 years experience\nInformatica PowerCenter expertise with strong ETL validation and troubleshooting capability\nExtensive experience with ETL concepts & technologies, Data migration testing, Data warehouse testing, and BI Reporting\nExtensive experience in data automation using Python\nHigh level of Proficiency in writing complex SQL queries in Azure Databricks from Business requirements to read data from source DB hosted in Azure and compare it with the target DB\nProficiency in relational database models, SQL queries, XML data models\nExtensive experience with software test automation tools and working in fast-paced Agile environments\nGood knowledge of testing lifecycle processes\nExperience with Atlassian tools (Jira and Confluence) and integrating them into automation testing frameworks\nGood communication and presentation skills\nExperience in Waterfall and Agile environments\n\nNice-to-Have Skills Description:\nExperience in the finance industry is highly desirable.","description_format":"text","description_chars":2919,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software 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