{"id":1227351,"url":"https://alion.io/job/infobeans-technologies-etl-qa-engineer","title":"ETL QA Engineer","company":{"id":59407,"name":"InfoBeans Technologies","domain":"infobeans.ai","url":"https://alion.io/company/infobeans-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","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":["Indore, India","Pune, India","Bengaluru, India","India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":59000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":599},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"Jira","optional":true},{"name":"Pandas","optional":true},{"name":"pySpark","optional":true},{"name":"Scrum","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-24T12:01:26Z","employer_posted_date":null,"last_verified_at":"2026-09-24T12:01:26Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Job Title : ETL QA Tester with Python and Databricks experience\n\nSummary : \n\nWe are seeking a meticulous ETL QA Engineer to ensure data integrity across our Databricks platform. You will validate complex data pipelines using SQL and Python, working closely with global teams to deliver high-quality data solutions. This role requires flexibility to ensure overlap with US EST working hours for real-time coordination and team collaboration.\n\nKey Responsibilities :\n\n- Design, develop, and execute ETL test cases to validate data extraction, transformation, and loading processes.\n\n- Write and execute complex SQL queries to perform data validation between multiple hops.\n\n- Medallion Architecture Testing: Validate data integrity as it moves through the Bronze, Silver, and Gold layers within Databricks.\n\n- Write and execute advanced SQL and Python scripts to validate large datasets and identify defects.\n\n- Design, develop, and execute UI Front end manual test cases to validate the functionalities of the software.\n\n- Identify, document, and track defects, collaborate with developers to ensure timely resolution.\n\n- Participate in project meetings and be available for discussions in US EST working hours as needed.\n\nRequired Skills & Qualifications:\n\nMust-have:\n\n- Advanced SQL: Proficiency in windows functions, complex joins and CTEs for deep data validation.\n\n- ETL & DWH: Deep understanding of ETL and Data Warehouse concepts.\n\nGood to have:\n\n- Databricks Experience: Hands-on experience with Databricks Notebooks and cluster management.\n\n- Programming: Strong skills in Python, specifically PySpark and Pandas for large-scale data manipulation.\n\n- Cloud Platform Familiarity: Experience working within Azure or AWS environments.\n\n- Agile Methodologies and Defect Tracking Tools: Experience with Jira for defect tracking and working with Agile/Scrum framework.\n\n- CI/CD (Additional Plus): Familiarity with automated deployment pipelines and version control (Git).\nSkills\nETL/Datawarehouse Testing, Software Quality Assurance, Testing, Python, Test Case Writing, Defect/Bug Tracking System, Validation Testing, Databricks","description_format":"text","description_chars":2130,"description_truncated":false,"requirements":{"experience_years_min":6,"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":[],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":24,"reasons":["seen:2","velocity","win:early"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/infobeans-technologies-etl-qa-engineer","json_url":"https://alion.io/job/infobeans-technologies-etl-qa-engineer.json","meta":{"generated_at":"2026-09-28T02:52:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1727,"day_limit":5000,"remaining_today":3273,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}