Quality Assurance Engineer developing testing frameworks for AI platforms at Fractal. Collaboration with engineering and product teams for quality assurance throughout the data product lifecycle.
Responsibilities
Support the deployment and monitoring of quality standards.
Develop a Quality Assurance framework for the entire organization and Gen AI platforms.
Help drive quality throughout the entire data product lifecycle through collaboration with product and development teams.
Develop test cases and automation scripts.
Analyze the system to consistently deliver quality products to downstream consumers.
Requirements
5 + yrs of experience in a Data Testing role validating different aspects of data migration, ETL & DW testing practices.
Knowledge or working experience in Generative AI (GenAI) technologies is preferred.
Extensive knowledge of SQL for testing, analysis.
Exposure to testing in data migration. Familiarly with diff test approaches used for migration validation
Thorough knowledge of testing and defect management lifecycle.
Clear understanding of AWS ecosystem and data-related services such as S3, Glue etc.
Hands on experience on Python , Pytest and other common tools used for data testing automation (Automating Data ingestion, Validation, mapping, Data reconciliation, historic/incremental loads etc).
Experience in automating parts of data validation (using dataframes, python setup).
Excellent coordination and communication skills to collaborate with the engineering, support teams, and business users to define test cases, execute data validations.
Contribute to performance testing (e.g., load testing) to validate data handling under stress.
Contribute to test automation frameworks where applicable.
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