Lucid is looking for a Data Engineer to join their Powertrain Data and Automation Team to design, build, and maintain robust data pipelines that power insights for battery validation and test operations.
Requirements
- Proven expertise in Python for ETL workflows.
- Strong familiarity with AWS cloud services for data storage and processing.
- Proficient in Docker for containerization and deployment.
- Knowledge of EV industry communication protocols such as CAN, Modbus, and TCP/IP.
- Experience with test equipment and data acquisition system setup.
- Familiarity with database systems (e.g., PostgreSQL).
- Knowledge of CI/CD pipelines and version control systems (e.g., Git).
Responsibilities
- Build, and maintain data pipelines for test and validation labs, including data acquisition, ETL processes, and data storage solutions with guidance from Senior data engineers.
- Develop and integrate solutions for acquiring data from test equipment, ensuring proper setup and calibration of data acquisition systems.
- Create dashboards and reports to visualize key metrics and insights using tools like Tableau and/or Grafana.
- Implement and manage containerized applications using Docker and deploy solutions in cloud environments such as AWS.
- Develop systems that interface with EV industry protocols such as CAN, Modbus, TCP/IP, and other relevant standards.
- Optimize ETL pipelines and data acquisition setups for performance and scalability.
Other
- Work closely with test engineers, validation teams, and software developers to understand data requirements and ensure seamless integration with lab operations.
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
- Self-driven and detail-oriented, with the ability to manage multiple priorities effectively.
- Work experience in the EV or automotive industry.
