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Senior Data Engineer

Berlin, Berlin, Germany (On-site)

Senior Data Engineer

1 Hour ago • 5 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 Senior Data Engineer to design, develop, maintain, and support its Enterprise Data Warehouse & BI platform. Responsibilities include building ETL/ELT pipelines using Python and Airflow, developing solutions within a time-constrained environment, working with sensitive data under strict SOX controls, collaborating with business stakeholders, and creating dashboards and reports. The role requires strong SQL skills, experience with various data and BI tools, and proficiency in handling real-time streaming data.

Must have:

5+ years experience in data pipelines (SQL/Python/Airflow)
Strong SQL & complex query writing skills
Experience with Data Warehouse/DataMart design
Experience with Kafka & real-time data
API integration (REST, SOAP)
Experience with reporting platforms (Tableau/PowerBI etc.)

Good to have:

Vertica experience
Pandas, NumPy, Plotly, SciPy experience
3+ years Open-Source development (Python, NodeJS)
Understanding of distributed computing & database architecture

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

Minimum of 5 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.
Experience integrating common API’s: REST, SOAP
Work experience with Tableau / PowerBI/ SSRS or any reporting platform
Excellent 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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