Software Development Test Engineer - II
Core
Build confidence in the quality, reliability, and correctness of data across the enterprise data platform and validate AI-powered analytics capabilities.
Role type
Senior Data Quality Engineer (Data Platform & AI Validation)
Builds
Enterprise Data Platform, data lake, AI-powered Analytics Agent
Domain
Automotive retail technology, data engineering, AI/ML
Deliverable
production ML models | dashboards & analysis
Required skills
automated testing frameworks, data validation strategies, data reconciliation, root cause analysis, test strategy design, data quality metrics definition
Preferred skills
AI evaluation frameworks, hallucination detection, edge case identification, regression suite design
Technologies
Data Lake, Operational databases, Product UIs, Upstream services, Business reports
Responsibilities
Design and implement automated testing frameworks for data pipelines, transformations, APIs, and platform capabilities; Validate data correctness, completeness, consistency, freshness, and lineage; Build scalable reconciliation frameworks to compare Data Lake outputs against source systems; Define data quality metrics, validation rules, and automated monitoring; Partner with engineering teams to validate new platform capabilities; Design regression suites for large-scale data platform changes; Drive root cause analysis for production data quality issues; Define and execute test strategies for AI-powered Analytics Agent capabilities including validating user intents and measuring response accuracy.
Seniority
Senior, hands-on IC