Data Engineer for Connected Services
Core
Designing and implementing scalable data integration solutions for large-scale automotive R&D applications within a vehicle-to-cloud ecosystem.
Role type
Data Engineer (ETL/ELT & Big Data)
Builds
Data integration solutions, Proof-of-concepts, and software products for near-real-time processing.
Domain
Automotive R&D, Connected Services, Vehicle-to-Cloud
Deliverable
production ML models | product features | infrastructure
Required skills
Python (pandas, numpy, scipy), ETL/ELT design, Big Data frameworks (Apache Spark/Pyspark), Relational and NoSQL database operations, Data visualization, Agile collaboration, Mentoring
Preferred skills
Project coordination (Product Owner/Agile Master), Golang, Scala, Java
Technologies
Apache Spark, Azure Databricks, Synapse, Data Factory, 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; Create and maintain data visualizations in close collaboration with domain experts; Contribute to the architecture and implementation of software products for (near)-real time processing; Develop solutions for scalable and automatic data processing involving ETL/ELT; Guide and mentor new team members
Seniority
Mid-level, hands-on IC