Senior Data Engineer, Ingestion Framework - Data & AI Platform

Rivian and Volkswagen Group Technologies is a joint venture focused on advancing automotive technology for electric vehicles. As a Senior Data Engineer in the Data & AI Platform team, you will be responsible for developing and maintaining a petabyte-scale data processing framework and ensuring its integration with Databricks.

Responsibilities:

• Framework Development & Maintenance: Design, develop, and enhance a cutting-edge, petabyte-scale vehicle data processing framework using Go. This framework is the backbone of our data operations; therefore, the ability to write clean, efficient, and maintainable code is essential
• Databricks Integration: Collaborate closely with the big data platform team to ensure seamless integration of the framework with our Databricks environment. This involves understanding the intricacies of both systems and optimizing their interaction for maximum efficiency
• CI/CD & Kubernetes Management: Take ownership of the framework's deployment lifecycle. Implement and manage robust CI/CD pipelines on Kubernetes to ensure smooth, automated, and reliable deployments
• Performance Optimization: Continuously monitor the framework's performance, identify bottlenecks, and implement optimizations to ensure it operates at peak efficiency even as data volumes grow
• Troubleshooting & Issue Resolution: Proactively identify and resolve issues that may arise with the framework. The ability to diagnose problems quickly and implement effective solutions will be critical to maintaining system uptime
• Collaborative Development: Collaborate with data producers and consumers to deliver dependable and scalable solutions
• Staying Ahead of the Curve: Keep abreast of the latest advancements in big data technologies, data engineering practices, and cloud computing. Explore new tools and techniques to improve our data infrastructure

Requirements:

• Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• Experience: 5+ years of hands-on experience in data engineering or a similar role, with a proven track record of building and maintaining large-scale data processing systems
• Go Expertise: Deep proficiency in Go programming language, with a strong understanding of its concurrency model and best practices for building high-performance applications
• Big Data Technologies: Solid understanding of big data ecosystems, such as Spark and Databricks. Experience with data warehousing and data lake concepts is a plus
• Problem-Solving Skills: Exceptional analytical and problem-solving skills, with the ability to break down complex problems into manageable components and develop effective solutions
• Communication & Collaboration: Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
• Kubernetes: Experience with Kubernetes container orchestration, deployment strategies, and cluster management
• Delta Lake: Familiarity interacting with open source or Databricks proprietary Delta tables. Understanding of Delta protocol is an extra bonus