Data Engineer (Job Code: 1391)

Epitec, Inc.

Southfield, MI, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

1 year minimum

Compensation

$114,836.0

Working hours

Regular working hours

Job source

mitalent.org

Tech stack

Microsoft Word Microsoft Excel Airflow Amazon Web Services Data Analysis JIRA Microsoft Azure C++ (Programming Language) Computer Engineering Information Engineering Extract Transform Load (ETL) Embedded C

+20 more

Apache Hadoop Python (Programming Language) MATLAB Microsoft Office Microsoft PowerPoint Shell Script Verification and Validation (Software) SQL Databases Tableau (Software) Teradata SQL Qliksense Google Cloud Electrical and Computer Engineering Git Information Technology Data Analytics Qlikview Docker Alteryx Databricks

Job description

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.

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, 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