OnStar Vehicle Data System Engineer
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Job Location:
Warren, OH - USA
Monthly Salary:
Not Disclosed
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description
The Role:
TheOnStar Vehicle Data System Engineeris responsible forEstablishing andlayingthe grounds forEnd-to-Endoperational 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.
This role will be part of the Connected Ops vehicle operations team that supports vehicle data-based services i.e. (OnStar services delivered using cellular connection CDMA/LTE such as mobile apps OnStar Vehicle Diagnostics Vehicle Health Alerts Theft Alert Notification driving insights Intelligent Virtual Assistant (IVA)HSVT (High Speed Vehicle Telemetry) mobile apps location sharing digital operations chat bots virtual advising etc. Running operations and understanding customer experience is executed and achieved using data analysis and data science tools.
The Individual would beassistingin the efforts to develop first in line insights Key performance indicators and effectiveness of all vehicle data quality for vehicle data collection and digital/nondigital solutions that are being implemented to help GM achieve their business goal. The individualis responsible forproviding technicalexpertiseto develop analytics that meets the data quality 5 dimensions:
Accuracyof Data within products/platforms (Example: Mobile app vehicle data)
Completenessof Data within products/platform
Reliabilityof Data within products/platform
Relevanceof Data within products/platform
Timelinessof deliveringData within products/platform
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.
WhatYoullDo
Provide technical and innovative plans and solutions to complex application/system related problems that spans multiple platforms and technologies and enterprise data ecosystems
Cutting edge- Telematics / Analysis ofreal-timedata transactions that cross multiple applications / layers and that tracks vehicle performance.
Creating critical operational and performance metrics for high velocity and critical applications that pump in millions of vehicle related transactions every day.
Simplify andoptimizecomplex data processes to provide a simple view to the organization.
Monitor and ensure dataperformanceSLAsleveragingenterprise monitoring tools and metrics tomaintainstable system operations and proactively address performance deviations.
Architect end to end reporting data solutions spanning platforms of Operational Data Stores (ODS) Data Marts Azure Data Services and Hadoop big data clusters toprovidea unified 360-degree view of systems.
Work on extensive data analytics on the big data platforms using Oracle Hive/Hadoop Sqoop Cognos Tableau using new and big data methodologies and extensive use of ETL (extract transform and Load) methods on data out of traditional RBMS systems data to derive insights
Work with application subject matter experts for vehicle domain data spanning programs that support Smart Vehicle Driving behaviors Vehicle Heath Diagnostics programs High Speed Vehicle Telemetry Intelligent Virtual Assistant (IVA)and other programs that have a frequent touchpoint with the vehicle.
Closely workwith engineering teams to understand vehicle data collection tasks set on vehicles and the profile size and integrity of the vehicle data elements coming back from the vehicles. Escalate emerging issues to leadership and ensure successful closures (byinvolving righttechnicalteams.)
Work and Adapt to both Waterfall/Agile methodologies Be a part of requirements gathering technical design testing strategy anddeployandprovideinsights on data flow patternsmetrics and platform improvement initiatives.
Understand business / technical process flows.
Strong Problem-solving skillsstrong communication and presentation skills
Your Skills & Abilities(Required Qualifications)
Familiarity with statistics and ability to explain why a specific model was chosen.
Knowledge of Kafka streaming systems and Microservices Architecture
Understand architectural tenets ofcloudsecosystems.
Understand ETL methodologies across multiple product ecosystems.
Experience with data in cloud and Microsoft Azure
Business intelligence and data analysis software Power BI Oracle Business Intelligence Enterprise Edition
Knowledge and experience with Database management system software Apache Hadoop; Oracle PL/SQL; Teradata Database Apache Cassandra Apache Hive NoSQL Azure.
Knowledge of Unix skills Shell scripting and integration with ORACLE SQL
Expert in using SQL across Postgres databases Hadoop/Hive & Oracle systems.
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Required Experience:
IC
Key Skills
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