Data Warehouse Test Engineer

Test Engineering: 5+ years designing and executing functional, regression, integration, and negative test suites. Experience with AI/ML system testing or conversational AI testing strongly preferred. API Testing: REST API testing using tools such as Postman, pytest, or equivalent. Experience validating JSON schemas, HTTP error codes, and streaming responses (SSE). SQL / BigQuery: Advanced SQL authoring in BigQuery Standard SQL; window functions, CTEs, date arithmetic, SAFE functions, STRUCT/ARRAY handling. Must be able to independently write complex validation queries against a multi-table star schema. Defect Documentation: Ability to write precise, reproducible defect reports that include expected SQL, actual SQL, expected result set, and actual result set. Bank Domain Knowledge: Understanding of retail/commercial bank operations: deposits, accounts, transactions, AML, KYC, fraud, compliance. Ability to interpret bank KPIs and business rules without extensive hand-holding. Critical Thinking Business Analysis: Ability to read a business question, understand the intended meaning, independently determine the correct SQL answer, and validate whether an AI system answered correctly, not just syntactically but semantically. Preferred Skills: Experience testing LLM-based or NL-to-SQL systems (Cortex, Looker, ThoughtSpot, or similar) Familiarity with GCP services: BigQuery, Cloud Run, Firestore, Dataplex, IAP Python scripting for test automation (pytest, SQLAlchemy, google-cloud-bigquery SDK) SCD2 / data warehousing concepts (bitemporal tables, slowly changing dimensions) Regulatory knowledge: GLBA, FCRA, BSA/AML, Client 239, SOX data quality Experience with data quality testing and data reconciliation Knowledge Graph or ontology concepts Automotive finance domain knowledge