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ZENITH INFOTEK LLC

Data Warehouse Test Engineer

Posted a month ago
$40 - $50 per hour
5-10 years experience
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AI Summary

The Data Warehouse Test Engineer will design and execute complex functional, regression, and integration test suites for AI/ML and data systems. They are responsible for validating AI-generated SQL queries against multi-table star schemas and documenting precise defect reports.

Job Title: Data Warehouse Test Engineer 
Location: Dearborn, MI (Remote)


Required Skills:
·        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 handholding.
·        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, BCBS 239, SOX data quality
·        Experience with data quality testing and data reconciliation
·        Knowledge Graph or ontology concepts
Automotive finance domain knowledge

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