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VDart Inc is the leading global provider of digital solutions, products and talent management company providing digital technology solutions in Automotive, Manufacturing, Energy & Utilities and Healthcare Industries. Led by a strong global team located across 10 countries including USA, Canada, Mexico, Brazil, UK, Japan, Australia & India. We are currently accepting applications from staffing firms for our Preferred Partner Program, where we align niche staffing firms with specific verticals based on their strengths. To apply, please visit: https://www.vdart.com/suppliers/ ADAS Data / Analytic Engineer Ann Arbor, MI Contract Experience and Qualification:
- As a Data / Analytics Engineer in our Advanced Driver-Assistance Systems (ADAS) area, you'll dream and realize future ADAS solutions focused on the North American customer, and unique road requirements. Here's what you'll be doing as a member of our team:
- Develop data pipelines and analytics for global projects by collaborating and guiding other divisions like ITx, TMC J and Woven.
- Develop data architecture and analytics systems for vehicle evaluations across Vehicle platforms.
- Challenge traditional methods and propose/create significant innovative IT infrastructure improvements to speed data processing/management
- Support IVS members in vehicle troubleshooting of data acquisition and proto-type parts for automated driving systems.
- Configure cloud environment and write software scripts to automate data ingestion and analytics
- Develop standard data and analytics processes
- Use agile processes to design algorithms and software using Python, C, and MATLAB/Simulink do develop software.
- Bachelor of Science degree in computer science, computer engineering, robotics engineering, electrical engineering, or equivalent.
- Experience realizing large-scale software and hardware solutions. (2 years)
- Knowledge in data pipeline tools such as Databricks, AWS S3, AWS Redshift, Python, Jupyter Notebooks, Microsoft PowerBI, Microsoft Azure, and common development environments and version control.
- Experience with continuous integration tools (e.g., Azure DevOps Pipelines, Jenkins)
- Experience using cloud platforms (e.g., AWS, Azure). (2 years)
- Good time management and task prioritization skills.
- Clear and concise presentation skills, both written and oral.
- Willingness to work overtime, when necessary, up to 10% of the time.
- Willingness to travel both domestically and internationally up to 20% of the time.
- Master's degree in Computer science, electrical engineering, robotics
- Experience with camera, radar, lidar, or sonar technologies. (2 years)
- Knowledge of IT infrastructure