Data Engineer Internship

4 Months ago • Upto 1 Years • Data Analysis

Job Summary

Job Description

The Data Engineer Intern at Tesla's Environmental Health, Safety, and Security (EHS&S) organization will support the development of data pipelines, systems, and processes. The intern will improve how Tesla uses data in an EHS&S context, including collecting, processing, and ensuring data quality and availability. Responsibilities include data extraction, transformation, and loading (ETL) processes, developing data models, integrating with various data sources, optimizing data pipelines, implementing quality checks, and working with stakeholders to understand data needs. The role requires strong technical skills, critical thinking, and proficiency in SQL and Python.
Must have:
  • SQL and relational databases
  • Python programming
  • ETL processes
  • Data modeling
  • Data pipeline optimization
  • Data quality and integrity
  • Excellent communication
Good to have:
  • Data warehousing concepts
  • Apache Airflow
  • Experience with various data sources

Job Details

What to Expect
Location: Amsterdam

Duration: 6 Months

Start Date: February 2025

Please Note: Candidates must be enrolled in higher education for the full duration of this internship.

The Data Engineer Intern will support the development of data pipelines, systems, and processes for Tesla’s Environmental Health, Safety and Security (EHS&S) Org. The intern will have a unique opportunity to improve how Tesla uses data in an EHS&S context. This includes collecting and processing data while ensuring quality and availability for downstream uses. This role has a strong technical component, where critical and structured thinking are a big bonus.

Data is deeply embedded in the culture at Tesla. We rely on data – lots of it – to improve our products, to optimize results, and to proactively detect opportunities for advancement. As an EHS&S Data Engineer Intern, you will be part of the team that solves issues that affect Tesla’s impact on the environment and employee health, safety, and security by using data and reporting metrics to identify potential problems in the field, investigate discrepancies, and initiate repair actions when needed. Your tasks will include data extraction, transformation, and loading (ETL) processes, as well as assisting in the development of data models and integration with various data sources.

What You’ll Do
  • Assist in the design, development, and maintenance of ETL processes that collect and transform data from diverse sources.
  • Collaborate with the team to optimize data pipelines and ensure reliability in our processes.
  • Implement quality checks and monitor data integrity throughout the data flow.
  • Work with various stakeholders to understand their data needs and translate requirements into effective data solutions.
  • Write and optimize SQL queries to retrieve and manipulate data from our warehouse solution.
  • Develop Python scripts to automate data-related tasks and improve overall data workflow.
  • Contribute to the documentation of data engineering processes, data models, and best practices.
What You’ll Bring
  • Currently pursuing a degree in Computer Science, Data Science, or a related field.
  • Good working knowledge of SQL language and relational databases (e.g., MS SQL, MySQL).
  • Strong understanding of Python and ability to write efficient and well-documented code.
  • Solid problem-solving and critical thinking skills.
  • Excellent verbal and written communication in the English language.
  • Eagerness to learn and adapt to new technologies and tools in the data engineering domain.
  • Familiarity with data warehousing concepts and ETL processes is a plus.
  • Experience with Apache Airflow (or other data orchestration tools) is a plus.

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