Data Engineer (Job Code: 1391)

Responsible for supporting vehicle feature level performance sign-offs through data exploration and analysis of data collected from real-world evaluation drives; work with vehicle feature and function owners, as well as verification and validation (V&V) teams, to understand metrics and use cases and to develop and refine tools and scripts to detect and trace requirement failures and problematic scenarios in real-world data; track issues in JIRA; participate in regular meetings to monitor and report progress to management; develop and validate Active Safety and Driver Assistance Systems features and technologies through data exploration and analysis; support design verification plans by analyzing resulting data and delivering reports and dashboards demonstrating compliance with internal and external requirements; utilize and apply knowledge of Python, SQL, Shell scripting, MATLAB, C++, Embedded C, Airflow, Databricks, Teradata Vantage, Hadoop, GCP, AWS, Azure, Docker, Git, Tableau, QlikView, Qlik Sense, Alteryx, and Microsoft Office (Word, PowerPoint, Excel) to perform assigned duties; support and coordinate root-cause analysis with internal and external suppliers to ensure delivered systems improve user experience via data-driven reports, signal-level traces, and related mechanisms; and support the overall development of innovative data analysis methods for Advanced Driver Assistance System (ADAS) features.

Experience must include one (1) years use of all the following: Python, GCP, Hadoop, Azure, Tableau, Alteryx, AWS, C++, Git, Embedded C, SQL, and Docker.

Will also accept any suitable combination of education, training, and/or experience, Education: Masters - Data Science, Data Engineering, Computer Science, Computer Engineering, Electrical Engineering, Electrical and Computer Engineering, or in a related field of study (will accept equivalent foreign degree);

Training: None;

Experience: One (1) year in the position above, as a Data Analyst, as a Data Analyst Assistant, Data Engineer (ETL Developer), as a Graduate Research Assistant, or in a related occupation;

Additional Requirements

Experience must include one (1) years use of all the following: Python, GCP, Hadoop, Azure, Tableau, Alteryx, AWS, C++, Git, Embedded C, SQL, and Docker.

Will also accept any suitable combination of education, training, and/or experience