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.
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 app’s 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 be assisting in 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 individual is responsible for providing technical expertise to develop analytics that meets the data quality 5 dimensions:
Accuracy of Data within products/platforms (Example: Mobile app vehicle data)
Completeness of Data within products/platform
Reliability of Data within products/platform
Relevance of Data within products/platform
Timeliness of delivering Data 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.
What You’ll Do
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Architect end to end reporting data solutions spanning platforms of Operational Data Stores (ODS), Data Marts, Azure Data Services and Hadoop big data clusters to provide a unified 360-degree view of systems.
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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
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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.
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Work and Adapt to both Waterfall/Agile methodologies – Be a part of requirements gathering, technical design, testing strategy, and deploy and provide insights on data flow patterns, required metrics, and platform improvement initiatives.
Your Skills & Abilities (Required Qualifications)
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Knowledge and experience with Database management system software — Apache Hadoop; Oracle PL/SQL; Teradata Database, Apache Cassandra, Apache Hive, NoSQL, Azure.
