Data Engineer

4 Months ago • 2-4 Years • Data Analysis

Job Summary

Job Description

Tesla seeks a Data Engineer to design, develop, maintain, and support its Enterprise Data Warehouse & BI platform. Responsibilities include building ETL/ELT pipelines using Python and Airflow, creating complex SQL queries, developing ad-hoc applications, and working with sensitive data under strict SOX controls. Collaboration with business stakeholders and IT resources is crucial for requirement gathering and efficient resolution of requests. The role demands strong problem-solving skills, excellent communication, and the ability to deliver under tight deadlines. The engineer will contribute to building a data-driven culture within the organization.
Must have:
  • 2-4 years experience in data pipelines (SQL/Python/Airflow)
  • Strong SQL skills and complex query writing
  • Experience designing DataMarts and Data Warehouses
  • Experience with ETL/ELT pipeline development
  • Excellent analytical and communication skills
Good to have:
  • Experience with Vertica
  • Experience with Kafka and real-time streaming data
  • Familiarity with REST/SOAP APIs
  • Experience with Tableau/PowerBI/SSRS
  • Experience with Pandas, Numpy, Plotly, SciPy
  • 3+ years of experience in Open-Source technologies (Python, NodeJS)
  • Understanding of distributed computing and database architecture

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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