GenRocket Synthetic Test Data SME/Engineers

GenRocket Synthetic Test Data SME/Engineers to establish and operationalize an enterprise synthetic test data generation capability. The resources will collaborate with enterprise, application, and data teams to understand source data structures, schemas, relationships, business rules, constraints, and data dependencies, and translate them into reusable data models consumable by GenRocket. The role will configure and develop GenRocket scenarios to generate realistic and referentially consistent test data, establish reusable templates and standards, and support integration with test automation and CI/CD pipelines. Resources will also leverage GenAI/AI-assisted techniques for data discovery, schema and relationship analysis, data-model generation, test-data scenario creation, and validation, while supporting application teams with onboarding and adoption.

Key Skills: GenRocket, Synthetic Test Data Generation, Test Data Management, Data Modeling, SQL/RDBMS, Schema & Relationship Analysis, Python, GenAI/LLMs, Prompt Engineering and AI-assisted Data Engineering, API/File-based Data Structures, CI/CD Integration, Data Privacy/PII concepts, and stakeholder collaboration.