Data Pipeline Engineer
Skills
- Proficiency in Python and/or Golang programming languages.
- Experience with relational databases, preferably PostgreSQL.
- Professional expertise with AWS cloud services and Kubernetes deployment.
- Capability in developing parallel-processing software and containerized backend microservices.
Responsibilities
- Devise, develop, and maintain Autonomous Driving data processing pipelines on AWS, Kubernetes, and on-prem servers.
- Develop scalable microservices following industry standards and deploy on Kubernetes clusters.
- Manage structured and unstructured data from vehicle sensors including cleaning, parsing, processing, and visualization.
- Optimize data storage, search, and processing utilizing diverse storage solutions and big data frameworks.
- Collaborate with multiple cross-domain teams including data collection, machine learning, and external vendors to create tailored software solutions.
Education
- Bachelor’s degree in Computer Science or a related field.
Benefits
- Competitive salaries
- Innovative and collaborative work environment
- Opportunity to make significant impact in sustainable mobility
- Work alongside accomplished industry professionals
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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