Data Diagnostics Engineer

Responsibilities: Data-Driven Analysis & Validation: Leverage large-scale fleet data in Databricks to characterize faults, tune detection thresholds, validate algorithm performance (detection rate, false-positive rate), and drive continuous improvement Skills: 3 years of professional experience in diagnostics Working knowledge of diagnostic standards and protocols (UDS / ISO 14229, DTC management, OBD-II / SAE J1979) and communication buses (CAN, LIN, Automotive Ethernet). Proficiency with Python for data analysis and visualization; experience working with large-scale telemetry datasets (Databricks, or equivalent) C Experience with HIL/SIL testing frameworks for diagnostic validation.