Data Engineer

1 Month ago • 2-4 Years • Data Analyst

Job Summary

Job Description

Tesla seeks a Data Engineer to design, develop, and maintain its Enterprise Data Warehouse & BI platform. Responsibilities include creating ETL/ELT pipelines using Python and Airflow, developing SQL queries, building ad-hoc applications, and working with sensitive data under strict SOX controls. The role requires strong SQL and Python skills, experience with data warehousing, and collaboration with business stakeholders. The ideal candidate will contribute to building a data-driven culture within the organization and create stellar dashboards and reports for C-level executives.
Must have:
  • SQL & Python expertise
  • ETL/ELT pipeline creation
  • Data warehouse design
  • DataMart design
  • Complex query writing
  • Experience with Kafka
Good to have:
  • Vertica experience
  • Pandas, NumPy, Plotly, SciPy
  • 3+ years Open-Source dev (Python, NodeJS)
  • Understanding of distributed computing

Job Details

What to Expect

Tesla is accelerating the world's transition to sustainable energy. Revolutionary strategies and products were developed within a few years and successfully launched on a large scale. This is only possible through extraordinary speed, innovation and efficiency.

Tesla is seeking a talented and motivated Data Engineer to join our Data and Analytics team at Tesla. We are building a state of the art analytics platform for business and operation intelligence. At Tesla, we have enormous amounts of data and we want to give meaning to it and help business users to make data driven decisions. Our platform will allow users to answer "what", "when" and "how" questions as well as allow them to ask "what if". This person will design, develop, maintain and support our Enterprise Data Warehouse & BI platform within Tesla using various data & BI tools and this position offers unique opportunity to make significant impact to the entire organization in developing data tools and driving data driven culture.

What You’ll Do
  • Work in a time constrained environment to analyze, design, develop and deliver Enterprise Data Warehouse solutions
  • Strong Expertise in SQL query skills
  • Create ETL/ELT pipelines using Python, Airflow
  • Design, develop, maintain and support our Enterprise Data Warehouse & BI platform within Tesla using various data & BI tools
  • Build ad-hoc applications as needed to support more curious data users and to provide automation as possible
  • Work with systems that handle sensitive data with strict SOX controls and change management processes
  • Develop collaborative relationships and work with key business sponsors, IT resources to gather requirements and for the efficient resolution of requests.
  • Provide timely and accurate estimates for newly proposed functionality enhancements
  • Communicate technical and business topics, as appropriate, in a 360 degree fashion, when required; communicate using written, verbal and/or presentation materials as necessary.
  • Keep up to date on relevant technologies and frameworks
What You’ll Bring
  • 2-4 years of experience in creating data pipelines using SQL / Python / Airflow is required
  • Experience with designing DataMart, Data Warehouse, database objects within relational databases MySQL, SQL-Server. Vertica is good to have.
  • Strong proficiency in SQL and complex query writing is required
  • Experience with Kafka and real time streaming data.
  • Familiarity with common API’s: REST, SOAP
  • Work experience with Tableau / PowerBI/ SSRS or any reporting platform
  • Good Problem-Solving, Verbal and Written communication skills
  • Excellent analytical, organizational skills and ability to work under pressure/deliver on tight deadlines is a must
  • Hands on experience in stellar dashboards and reports creation for C-level executive

Nice to have:

  • Experience with data science tools such as Pandas, Numpy, Plotly, SciPy
  • 3+ years of development experience in Open-Source technologies like Python, NodeJS
  • Understanding of distributed computing and database architecture.

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