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Data Engineer

Berlin, Germany (On-site)

Data Engineer

1 Day ago • 2-4 Years • Data Analyst • Undisclosed

About the job

11 skills required for this role

Add these skills to join the top 1% applicants for this job

plotly

pandas

python

sql

numpy

data-science

tableau

mysql

communication

innovation

organisational-skills

Job Description

Tesla seeks a Data Engineer to design, develop, and maintain their Enterprise Data Warehouse & BI platform. Responsibilities include building ETL/ELT pipelines using Python and Airflow, creating complex SQL queries, working with sensitive data under SOX controls, and collaborating with business stakeholders to gather requirements. The role requires strong SQL and Python skills, experience with data warehousing concepts, and familiarity with BI tools like Tableau or Power BI. The ideal candidate will have experience with Kafka and real-time streaming data and a proven ability to deliver in a fast-paced environment.

Must have:

Analyze, design, develop and deliver EDW solutions
Strong SQL query skills
Create ETL/ELT pipelines (Python, Airflow)
Design, develop, maintain & support EDW/BI platform
Work with sensitive data & SOX controls

Good to have:

Experience with data science tools (Pandas, NumPy)
3+ years of experience in Open-Source technologies
Understanding of distributed computing

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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