{"id":4291275,"url":"https://alion.io/job/atlas-systems-p1-gp-senior-qa-engineer-data-databricks","title":"P1 - GP - Senior QA Engineer – Data (Databricks)","company":{"id":2282715,"name":"Atlas Systems •","domain":"atlassystems.com","url":"https://alion.io/company/atlassystems","size_band":"201-500","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"A","score":92,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-11-12T10:38:37Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"Claude Code","optional":true},{"name":"Delta Lake","optional":true},{"name":"Great Expectations","optional":true}],"status":"live","first_seen_at":"2026-11-13T23:21:39Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T23:21:39Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Senior QA Engineer - Data (Databricks)\nAbout the Role\nThe Senior QA Engineer for Data will test and validate the data platform behind our internal back-office systems, including Databricks pipelines and the Power BI reports that business users rely on. This is a hands-on senior role: you'll make sure our data is accurate, complete, and timely, build automated data tests, and mentor onshore and nearshore QA testers. You'll partner closely with data engineers and business stakeholders and work within an agile environment.\nResponsibilities\nDesign and carry out test strategies for data pipelines built in Databricks, covering ingestion, transformation, and output.\nValidate data accuracy, completeness, and consistency between sources and targets, including reconciliation and data comparison processes.\nBuild and maintain automated data tests in Python and Pytest, using SQL and PySpark to validate tables and transformations.\nTest and validate Power BI reports against source data.\nDefine and implement data quality checks, and help set QA standards for the data platform.\nIntegrate data tests into CI/CD pipelines.\nInvestigate data defects and pipeline performance issues, and coordinate fixes with data engineering.\nWork with business users to understand how they use data and reports, and propose technical and non-technical solutions to business problems.\nMentor onshore and nearshore QA testers, and review their test code against coding standards.\nTrack and report on data quality metrics, test coverage, and release readiness.\nStay current on QA tools and practices, including AI-assisted testing.\nRequired Qualifications\n6+ years of QA experience, including 3+ years testing data pipelines, data warehouses, or analytics platforms.\nHands-on experience testing in Databricks.\nStrong SQL skills for data validation and reconciliation.\nProficiency in Python and Pytest.\nExperience with PySpark or Spark SQL.\nSolid understanding of ETL/ELT processes and data modeling concepts.\nExperience testing in cloud environments (Azure preferred).\nExperience with a test management tool (Qase preferred).\nExperience working in an agile environment.\nStrong process discipline and attention to detail.\nExcellent verbal and written communication skills, with a customer-service mindset toward business users.\nPreferred Qualifications\nExperience testing or validating Power BI reports.\nExperience with Delta Lake and Unity Catalog.\nExperience with data quality frameworks (e.g., Great Expectations or Databricks pipeline expectations).\nExperience with CI/CD pipelines (e.g., Azure DevOps).\nExperience mentoring QA testers or working with distributed or nearshore teams.\nFamiliarity with AI-assisted development tools such as Claude Code.\nCurrent Tech Stack\nPython, Pytest, SQL, PySpark, Databricks, Power BI, Qase, Azure, Claude Code","description_format":"text","description_chars":2828,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Managed IT Services (MSP)","EHR & Clinical Software"],"lifecycle":[{"event":"open","at":"2026-11-13T23:21:39Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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