Job Description
What You'll Do
- Architect, design, build, and maintain scalable and efficient data pipelines to process and transform large volumes of structured and unstructured data from multiple sources.
- Develop and manage projects to integrate data from various platforms and systems (e.g., on-premises and cloud databases, data lakes, APIs, third-party vendors).
- Partner with cross-functional teams (Data Scientists, Product Managers, Engineers, Aerodynamicists, etc.) to translate business requirements into efficient data solutions.
- Manage cross-functional projects that deliver these data solutions.
- Ensure the integrity, consistency, and quality of processed data through automated validation and monitoring processes.
- Ensure that all tools and architecture adhere to best practices in software engineering.
Additional Job Description
What You'll Need (Required Qualifications)
- Bachelor's degree in Computer Science, Data Science, or a related field.
- 10+ years of experience in the engineering industry, specializing in data engineering, data processing, or related fields.
- 5+ years of experience managing data or software development projects.
- Proficient in multiple programming languages such as Python, C++, Java.
- Extensive experience with data processing tools and platforms such as Kafka, Flink, Databricks.
- Skilled in managing distributed computing management systems like SLURM, LSF.
- Knowledgeable in relational and non-relational databases (e.g., SQL, MongoDB).
- Familiarity with cloud platforms (AWS, Azure).
- Excellent interpersonal skills, capable of effectively collaborating with both technical and non-technical stakeholders.
- This job may be eligible for relocation benefits.
What Will Give You A Competitive Edge (Preferred Qualifications)
- Master's degree in Computer Science, Data Science, or a related field.
- Experience leading the development and delivery of complex data pipeline projects.
- Experience developing data solutions for a motorsports environment.
- Proficiency in applying data governance, privacy, and security best practices.
- Experience with HPC architecture.
- Skilled in developing live streaming data pipelines.
Additional Details
This role is hybrid, based in the UK, but the successful candidate will also spend 10-25% of their time at the Charlotte Technical Centre as required.
GM will provide immigration-related sponsorship for this role.
About GM
Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We embrace the responsibility to lead change that makes our world better, safer, and more equitable for all.
Why Join Us
We believe in making a daily choice to drive meaningful change through our words, deeds, and culture. We want every employee to feel they belong to one General Motors team.
Non-Discrimination and Equal Employment Opportunities
GM is committed to fostering an inclusive workplace that promotes diversity and belonging. We encourage candidates to review the key responsibilities and qualifications and apply for roles that match their skills. Applicants may be required to complete assessments or screenings prior to employment. For more information, see "How we Hire".
Accommodations
GM offers opportunities to all job seekers, including individuals with disabilities. If you need a reasonable accommodation during your job search or application process, please email us or call 800-865-7580, including a description of the accommodation needed, the job title, and the requisition number.