General Motors

Join us on our journey toward a world with zero crashes, zero emissions, and zero congestion.

Senior Data Analytics Engineer - Vehicle Chassis Systems

Analytics EngineerAnalytics EngineerFull TimeRemoteTeam 10,001+Since 1908H1B SponsorCompany SiteLinkedIn

Location

California + 2 moreAll locations: California, Michigan, Texas

Posted

3 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglishPythonScalaSparkSQLTableau

Job Description

• Design, build and maintain critical visuals (PowerBI or Tableau dashboards, reports, etc.) for chassis sub-systems (brakes, steering, and suspension). • Establish data-architecture (for gold and platinum layers) in this chassis space. • Work with IT to source appropriate data-sets. • Design, build and maintain scalable data pipelines to process data. • Build data quality monitoring processes to detect and resolve data anomalies. • Collaborate with chassis hardware and software designers, developers, and quality engineers to establish the best metrics to track and predict performance. • Collaborate with AI/ML scientists and other hardware and software engineers to build engineered features and data pipelines for prognostic and diagnostic algorithms. • Implement and oversee data governance policies to ensure data integrity, security, and compliance. • Ensure issues observed in your analysis are chased to closure by organizing meetings, creating issue reports, and reporting out to management. • Change-manage your digital products and their associated requirements. • Actively participate in analytics forums and cross-functional groups, sharing knowledge and insights within and beyond the chassis engineering domain.

Job Requirements

  • Bachelor of Science degree in Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
  • 5+ years of experience utilizing data analysis methods and success solving complex problems.
  • 2+ years of experience of working with vehicle telematics data.
  • Proficiency using relevant programming languages: Python, SQL, Scala, & R.
  • Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.
  • Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.
  • Real-world experience using Databricks platform.
  • Capable of converting ambiguous problem statements into concrete project requirements.
  • Passion for data driven results and customer initiatives.

Benefits

  • From day one, we're looking out for your well-being–at work and at home

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