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