Bewirb dich als Data Engineer - Python, SQL & Airflow (m/w/d) - Gigafactory Berlin-Brandenburg bei Tesla – Dein Job in Grünheide (Mark)

• 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

• 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 query writing is required
• Familiarity with common API’s: REST, SOAP
• Work experience with Tableau / PowerBI/ SSRS
• 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, R
• 3+ years of development experience in Open-Source technologies like Python, Java is preferred
• Understanding of distributed computing
• Work experience with Python, SSIS, Informatica