Wednesday , October 5 2022

Jobs at Tesla – Data Pipelines Engineer

Website Tesla

Job Description:

Tesla is seeking an amazing data pipelines engineer to contribute to the Cell Formation Software team. As a member of our team, you will develop highly-performant, scalable, and available data pipelines for our manufacturing teams and for external customers. These systems produce data in the realm of multiple terabytes per day. You must have a genuine passion for engineering products that will fundamentally change the world’s energy infrastructure and thrive working in a fast-paced, entrepreneurial environment.

Job Responsibilities:

  • Create robust data pipelines to make cell production data available in the immediate and long term for quality analysis, process definition, user interface display, and other requirements.
  • Deploy scalable deployment solutions typical to critical manufacturing environments.
  • Interact with major internal Tesla subassemblies and external stakeholders and customers.
  • Provide finished products to support and automate our revolutionary cell manufacturing lines.
  • Produce quality results in record time.
  • Travel to different facilities across the world to deploy automated manufacturing solutions.
  • Resolve show-stopping limiters at design pilot and full-blown production stages of product life cycle.
  • Absorb system knowledge to the point of process expertise.

Qualification & Experience:

  • Experience analyzing data and building effective tools and dashboards to identify inconsistencies in processes.
  • Experience with modern data technologies such as SQL and NOSQL databases, GraphQL, Kafka, and in-memory data storage.
  • Data pipeline deployment experience is a plus.
  • 3+ years of experience designing data pipelines for high-speed real-time data. Data ETL (Extract, Transform,
  • Experience programming in Golang, Python or Java.
  • Experience with schema design and data modeling.

Job Details:

Company: Tesla

Vacancy Type:  Full Time

Job Location: San Diego, CA, US

Application Deadline: N/A

Apply Here

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