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 / Big Query: Advanced SQL authoring in Big Query 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, Thought Spot, or similar)
• Familiarity with GCP services:
  Big Query, Cloud Run, Firestore, Dataplex, IAP
• Python scripting for test automation (pytest, SQL Alchemy, google-cloud-bigquery SDK)
• Experience with data quality testing and data reconciliation