Data Engineer – Data Platform


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


· 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


· 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