We are an Artificial Intelligence Services and Solutions company that focuses on applying Machine Learning, Deep Learning and Advanced Analytics to solve the problems of businesses. Amnet Digital has highly experienced talent from world-leading institutions and technology companies. We have successfully applied AI Technologies in Enterprise Software, Retail, eCommerce and Healthcare. Our digital product engineering teams design and deploy enterprise solutions that are robust, secure and scalable.
Job Level: Mid-Senior level
Experience: 5-10 years
Location: Hyderabad, India
We are looking for an experienced QA Engineer with 5–10 years of hands-on experience in validating data pipelines, transformations, and business rules across modern data platforms. In this role, you will design robust test plans, build automated data quality scripts, and ensure the accuracy, completeness, and consistency of data across non-prod and production environments. You will collaborate closely with Data Engineers, Data Analysts, and Solution Architects throughout release cycles to maintain high-quality, reliable data systems.
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Validate ETL/ELT pipelines, data transformations, and business rules
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Design and execute test plans for data workflows
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Build automated data quality and validation scripts
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Perform regression, integration, metadata, and lineage validation tests
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Review transformations to ensure alignment with business requirements
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Conduct end-to-end data pipeline validation across environments
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Document test results and maintain QA reports
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Participate in release cycles and collaborate with cross-functional teams (DE, DA, Architects)
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Strong experience in data validation testing
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Advanced proficiency in SQL
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Hands-on Python automation for data QA
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Ability to design test cases for ETL/ELT pipelines
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Experience with metadata and data lineage validation
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Solid understanding of regression and integration testing
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Working knowledge of QA frameworks like pytest or Great Expectations
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Understanding of AWS data services
