Working as part of a team to create new product deliverables using a variety of skills, from rapid prototyping tools through to all-code solutions.
Work with new data. Design, analyze, implement, and maintain robust data pipelines against large and complex datasets using Python, Spark, and other related technologies.
Collect relevant information and demonstrate good judgment in selecting methods to obtain solutions. Collaborate with a team, utilizing collective skills and expertise to plan for long-term success. Present your solutions and findings to stakeholders.
Test and verify that your implementations meet requirements. Use automation and CI/CD tooling to support resilient deployments. Self-govern your use of best practices and conventions, then peer review with your colleagues. Document your work and decisions.
A logical, practical, and innovative approach to problem-solving.
Strong, clear, and professional customer-facing communication skills. The ability to discuss technical concepts accurately and succinctly, with both technical and non-technical people.
A general knowledge and interest in state-of-the-art Artificial Intelligence-related technologies. You should have used Generative AI and be aware of the key concepts.
Experience with data engineering fundamentals, ingesting data, designing efficient and practical data schemas, etc.
Experience building and delivering software or web-based applications to end users.
Experience with Python, Spark, SQL, TypeScript, JavaScript, HTML, and CSS. Not afraid to pick up and learn something new in a short amount of time.
Willing to make informed decisions, taking both action and responsibility, to ensure that our clients can rely on us to deliver excellence.
Automotive data and domain knowledge are desirable, but not essential.
Able to travel as needed to meet with customers, colleagues, and business partners.
