Onstar Vehicle Data System Engineer

GM

Hybrid
End-to-end operational kpi
Data collection from gm vehicles
Operational metrics/insights
The OnStar Vehicle Data System Engineer is responsible for Establishing and laying the grounds for End -to-End operational KPI of Products/platforms related services based on the technology of data collection from GM vehicles, and lead in the space of Operational metrics/insights

Job Summary

  • The OnStar Vehicle Data System Engineer is responsible for Establishing and laying the grounds for End -to-End operational KPI of Products/platforms related services based on the technology of data collection from GM vehicles, and lead in the space of Operational metrics/insights.
  • The individual will work as a member of a multi-disciplinary and cross organizational team of various experience levels that will be driving solutions by designing, developing, and deploying analytic models to measure performances supporting critical business areas and build automated data quality monitoring frameworks to ensure vehicle data meets high integrity standards.
  • GM does not provide immigration-related sponsorship for this role. This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week.

Matching Summary

The OnStar Vehicle Data System Engineer is responsible for Establishing and laying the grounds for End -to-End operational KPI of Products/platforms related services based on the technology of data collection from GM vehicles, and lead in the space of Operational metrics/insights.

Skills & Requirements

Must-have

  • End-to-End operational KPI
  • data collection from GM vehicles
  • Operational metrics/insights
  • data analysis and data science tools
  • data quality 5 dimensions
  • analytic models
  • automated data quality monitoring

Nice-to-have

  • innovative plans and solutions
  • customer experience
  • multi-disciplinary and cross organizational team
  • Waterfall/Agile methodologies
  • Strong Problem-solving skills
  • strong communication , and presentation skills

Key Requirements

  • Familiarity with statistics
  • Knowledge of Kafka streaming systems
  • Microservices Architecture
  • architectural tenets of clouds ecosystems
  • ETL methodologies
  • data in cloud and Microsoft Azure
  • Business intelligence and data analysis software
  • Database management system software
  • Unix skills – Shell scripting
  • Expert in using SQL

Work Rights

Not specified

Tailored Resume

Cover Letter