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Position: Data Engineer - Data Platform
Institution: Tesla, Inc.
Location: Fremont, California, United States
Duties: Build and manage Kafka based streaming data pipelines; Build and manage Airflow based ETLs; Monitor and improve performance of the pipelines; Develop storage layer (relational/non-relational) for hosting data for analytical queries; Work on fast pace projects to deliver innovative solutions for our business users
Requirements: Bachelor’s degree in computer science/software engineering or related fields with 3+ years of experience in data engineering; 3+ years of experience working with Python, NodeJS; 2+ years of experience working with Kafka based pipeline development; Strong knowledge of SQL is required; 1+ year of hands-on experience with Apache Airflow
   
Text: Tesla homepage Skip to main content Model S Model 3 Model X Model Y Solar Roof Solar Panels Shop Account Tesla Careers Hero Go to search Data Engineer - Data Platform Job Category Engineering & Information Technology Location Fremont, California Req. ID 76942 Job Type Apply Tesla participates in the E-Verify Program Tesla is looking for a talented data engineer with experience working with the highly transactional and scalable data platform. We are working on architecture to support analytics on Tesla’s complex business applications suite. With this architecture, our business users should be able to get “What”, “When” and “how” answered much faster and help them to take data driven decisions Responsibilities: · Build and manage Kafka based streaming data pipelines · Build and manage Airflow based ETLs · Monitor and improve performance of the pipelines · Develop storage layer (relational / non-relational) for hosting data for analytical queries · Work on fast pace projects to deliver innovative solutions for our business users Requirements: · Bachelor’s degree in computer science/software engineering or related fields with 3+ years of experience in data engineering · 3+ years of experience working with Python, NodeJS · 2+ years of experience working with Kafka based pipeline development · Strong knowledge of SQL is required · 1+ year of hands-on experience with Apache Airflow · Ability to debug production issues using tools like Grafana, Splunk or server logs Nice to have · Experience with distributed computing using Hadoop ecosystem, Spark, Presto. · Knowledge of Java, Scala · Knowledge of Kafka connect ecosystem · Experience with Docker, Kubernetes Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodationrequest@tesla.com for additional information or to request accommodations. Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice. Tesla © 2022 Privacy & Legal Contact Careers Get Newsletter Forums Locations
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