{"id":2979655,"url":"https://alion.io/job/blumetra-quality-engineering-lead-data-validation-automation","title":"Quality Engineering Lead - Data Validation & Automation","company":{"id":4431147,"name":"Blumetra","domain":"blumetra.com","url":"https://alion.io/company/blumetra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Management","role_family":"Management","seniority":"lead","employment_type":null,"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":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Jira","optional":false},{"name":"Playwright","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-21T04:48:38Z","employer_posted_date":null,"last_verified_at":"2026-10-21T04:48:38Z","board_verified":false,"closed_at":null,"days_open":13,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":13},"description":"Lead Quality Engineering\n\nBlumetra Solutions is seeking an experienced QA Lead - Data Validation Expert to lead quality engineering initiatives across enterprise data integration, ETL/ELT pipelines, cloud data platforms, and analytics solutions. The role combines hands-on data validation and test automation with QA strategy, governance, team leadership, and customer engagement.\n\nKey Responsibilities : \n\n- Define QA strategies, test plans, test coverage, effort estimation, resource planning, and quality engineering standards for complex data projects.\n\n- Lead validation across data integration pipelines, ETL/ELT processes, data models, Medallion Architecture, semantic models, dashboards, and reports.\n\n- Review and develop complex SQL queries to validate data accuracy, completeness, consistency, integrity, transformation logic, and source-to-target reconciliation.\n\n- Lead API testing, end-to-end testing, and system integration testing across interconnected applications and data platforms.\n\n- Design and govern scalable automation frameworks using Python, Playwright, API automation tools, and other suitable technologies.\n\n- Leverage Claude and similar AI-powered tools to develop automation accelerators, validation utilities, reusable QA components, and documentation.\n\n- Lead quality initiatives involving Snowflake and cloud platforms such as AWS or Microsoft Azure.\n\n- Ensure validation of metadata, data lineage, transformation logic, and cross-system data movement.\n\n- Establish QA entry and exit criteria, stage-gate reviews, release readiness assessments, defect closure requirements, and quality sign-offs.\n\n- Lead defect triage, root-cause analysis, prioritization, resolution tracking, and quality risk communication.\n\n- Coordinate with customers, business stakeholders, developers, data engineers, and project managers to ensure successful delivery.\n\n- Mentor QA engineers, review deliverables, improve productivity, and establish reusable testing standards.\n\n- Participate in sprint planning, backlog refinement, daily stand-ups, sprint reviews, retrospectives, and release planning using Jira.\n\nRequired Skills : \n\n- 8 - 12 years of experience in QA, data testing, data validation, or quality engineering, including leadership responsibilities.\n\n- Strong hands-on expertise in SQL, database testing, ETL/ELT validation, and source-to-target reconciliation.\n\n- Experience testing data models, semantic models, dashboards, reports, and data visualizations.\n\n- Expertise in API testing, end-to-end testing, and system integration testing.\n\n- Experience designing or governing automation frameworks using Python, Playwright, and API automation tools.\n\n- Practical experience using Claude or equivalent AI-powered tools for automation development and maintenance.\n\n- Hands-on experience with Snowflake and at least one cloud platform : AWS or Microsoft Azure.\n\n- Strong understanding of metadata, data lineage, data flows, and Medallion Architecture.\n\n- Proven experience in QA governance, release readiness, quality sign-offs, and stakeholder management.\n\n- Experience working in Agile/Scrum environments and using Jira.\n\n- Strong communication, analytical, problem-solving, and team leadership skills.\n\nPreferred Domain Experience : \n\n- Retail and Supply Chain experience preferred.\n\n- Life Sciences experience is an added advantage.\n\nSkills\nAutomation Testing, Data Validation, SQL, Python, ETL, API Testing, Snowflake DB, Playwright Testing, Testing, ETL/Datawarehouse Testing, Data Quality","description_format":"text","description_chars":3517,"description_truncated":false,"requirements":{"experience_years_min":8,"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":"2026-10-21T06:30:30Z"}],"visa":[],"liveness":{"score":80,"band":"hot","label":"Hiring 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