Data Engineer ADAS Fleet Analytics

Role Overview: Join the US ADAS Data & Forensics team to build scalable vehicle-telemetry pipelines for applied AI.

Key Responsibilities

• Design and maintain robust telemetry pipelines using Event Hub, Medallion architecture, Delta Lake MERGE, schema evolution, and blue/green deployments.
• Own campaign/fleet management: enrollment rosters, ingestion monitoring, VIN reconciliation, and automated alerts.
• Develop engineering KPIs (safety events), operational metrics (freshness/health), and management trends (cohort comparisons).
• Build ML-ready infrastructure for video/signal pipelines, SSR recordings, embedding stores, and model integration.
• Operate the Azure data platform (ADLS Gen2, Synapse Spark, Event Hub) with Terraform CI/CD support.

Requirements

Bachelor's/Master's in CS/Data Engineering; 2-5 years of production pipeline experience. Strong Python, PySpark, SQL skills required. Expertise in Delta Lake/Iceberg/Hudi and automated testing essential.