Lead Quality EngineeringBlumetra 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.Key Responsibilities : - Define QA strategies, test plans, test coverage, effort estimation, resource planning, and quality engineering standards for complex data projects.- Lead validation across data integration pipelines, ETL/ELT processes, data models, Medallion Architecture, semantic models, dashboards, and reports.- Review and develop complex SQL queries to validate data accuracy, completeness, consistency, integrity, transformation logic, and source-to-target reconciliation.- Lead API testing, end-to-end testing, and system integration testing across interconnected applications and data platforms.- Design and govern scalable automation frameworks using Python, Playwright, API automation tools, and other suitable technologies.- Leverage Claude and similar AI-powered tools to develop automation accelerators, validation utilities, reusable QA components, and documentation.- Lead quality initiatives involving Snowflake and cloud platforms such as AWS or Microsoft Azure.- Ensure validation of metadata, data lineage, transformation logic, and cross-system data movement.- Establish QA entry and exit criteria, stage-gate reviews, release readiness assessments, defect closure requirements, and quality sign-offs.- Lead defect triage, root-cause analysis, prioritization, resolution tracking,



and quality risk communication.- Coordinate with customers, business stakeholders, developers, data engineers, and project managers to ensure successful delivery.- Mentor QA engineers, review deliverables, improve productivity, and establish reusable testing standards.- Participate in sprint planning, backlog refinement, daily stand-ups, sprint reviews, retrospectives, and release planning using Jira.Required Skills : - 8 - 12 years of experience in QA, data testing, data validation, or quality engineering, including leadership responsibilities.- Solid hands-on expertise in SQL, database testing, ETL/ELT validation, and source-to-target reconciliation.- Experience testing data models, semantic models, dashboards, reports, and data visualizations.- Expertise in API testing, end-to-end testing, and system integration testing.- Experience designing or governing automation frameworks using Python, Playwright, and API automation tools.- Practical experience using Claude or equivalent AI-powered tools for automation development and maintenance.- Hands-on experience with Snowflake and at least one cloud platform : AWS or Microsoft Azure.- Strong understanding of metadata, data lineage, data flows, and Medallion Architecture.- Proven experience in QA governance, release readiness, quality sign-offs, and stakeholder management.- Experience working in Agile/Scrum environments and using Jira.- Strong communication, analytical, problem-solving, and team leadership skills.Preferred Domain Experience : - Retail and Supply Chain experience preferred.- Life Sciences experience is an added advantage. (ref:hirist.tech)

📌 Blumetra Solutions - Quality Engineering Lead - Data Validation & Automation (Hyderabad)
🏢 Blumetra Solutions
📍 Hyderabad