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Job Description
<p><p>We are hiring QA Leads with strong expertise in ETL testing, AWS, SQL, and Snowflake.<br/><br/>The role demands 610 years of experience in validating large-scale data pipelines and ensuring accuracy, reliability, and scalability of data engineering solutions.<br/><br/><b>Overview : </b><br/><br/>As a QA Lead, you will be responsible for owning the end-to-end testing lifecycle for cloud-based data platforms.<br/><br/>You will lead validation efforts, design testing strategies, and ensure high-quality releases of ETL workflows and Snowflake-based data models.<br/><br/><b>Experience Required : </b> 610 Years.<br/><br/><b>Location : </b> Hybrid / Remote (Pune, Bangalore, Gurugram, Hyderabad).<br/><br/><b>Key Responsibilities : </b><br/><br/>- Lead QA strategy and execution for ETL, Snowflake, and AWS-based solutions.<br/><br/>- Design and implement test plans, test cases, and automation scripts for data validation.<br/><br/>- Perform strong SQL testing for data transformations, aggregations, and performance.<br/><br/>- Validate integrations across ETL tools, Snowflake, and AWS services.<br/><br/>- Collaborate with developers, data engineers, and product teams to ensure defect-free releases.<br/><br/>- Drive adoption of QA best practices, automation frameworks, and reporting standards.<br/><br/><b>Requirements : </b><br/><br/>- 6 to 10 years of experience in QA/testing, with at least 3+ years in data/ETL QA.<br/><br/>- Strong expertise in AWS services relevant to data workflows.<br/><br/>- Hands-on experience in ETL testing, SQL validation, and Snowflake.<br/><br/>- Proven ability to design and execute end-to-end QA processes.<br/><br/>- Strong leadership, communication, and stakeholder management skills.<br/><br/><b>Nice to Have : </b><br/><br/>- Experience in Agile/Scrum QA environments.<br/><br/>- Knowledge of test automation tools for data validation (e.g., Pytest, DBT tests).<br/><br/>- Exposure to data governance and compliance testing.<br/><br/>- Prior experience in performance testing of data pipelines.<br/><br/></p><br/></p> (ref:hirist.tech)
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