Data Engineer/Senior Data Engineer
Tasks
- Analyze road test and simulation data
- Assess geographic coverage
- Attribute root cause and route owners
- Build AI agent workflows for issue triage
- Build release management data foundations
- Build scalable evaluation pipelines
- Cluster and deduplicate failures
- Cluster events and issues
- Create traceable release evidence
- Define driving performance metrics
- Develop geospatial analytics
- Ensure work aligns with Quality Management System QMS
- Identify trends regressions anomalies
- Implement release gating and readiness criteria
- Map match metrics
- Propose fixes with supporting evidence
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Airflow | Apache Spark | Argo Workflows | Automated Regression | Automated Regression Detection | Clustering | Dashboards | Data Processing | Distributed data | Distributed data processing | Error Analysis | Evaluation Frameworks | GIS | Geopandas | Geospatial Analytics | LLM | Langchain | Langgraph | Map-matching | PostGIS | Python | Quality gating | Regression Detection | Release Engineering | Spatial indexing | Spatial joins | Time Series | Validation | Workflow Orchestration
Education
Roles
Regions
Countries
States
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