Working Student Data Engineering
Core
Develop data integration solutions and scalable data processing for large-scale automotive R&D applications within a vehicle-to-cloud ecosystem.
Role type
Working Student Data Engineer
Builds
Data integration solutions, Proof-of-concepts, and software products for near-real-time processing in the automotive industry.
Domain
Automotive R&D / Big Data
Deliverable
production ML models | product features
Required skills
Python (pandas, numpy, scipy), ETL/ELT, Big Data frameworks, Data visualization, SQL/NoSQL, Docker/Kubernetes, Git
Preferred skills
Golang, Scala, Java, Apache Spark, Azure Databricks, Kafka, RabbitMQ, MQTT
Technologies
Python, Apache Spark, Azure DevOps, Apache Airflow, Jenkins, Apache Kafka, RabbitMQ, MQTT, Docker, Kubernetes, Oracle, MySQL, MongoDB, Tableau, PowerBI, Git, Bitbucket
Responsibilities
Develop data integration solutions for large scale automotive R&D applications; Design, test and document reliable data integration solutions; Design Proof-of-concepts and pitch for implementation; Contribute to architecture and implementation of software products for (near)-real time processing; Develop solutions for scalable and automatic data processing involving ETL/ELT; Create and maintain data visualizations in close collaboration with domain experts.
Seniority
Student (Working Student)
