We are looking for a data specialist who is enthusiastic to make this big data useful via appropriate data streaming, modeling, visualization and analysis. You will work closely together with a team of inspiring and engaged colleagues. Our main development task is to support operations in autonomous transport system via effective utilization of data.
Responsibilities
- Helping the team to design and develop appropriate data pipelines, from different sources of data to the final users.
- Creating and consuming Kafka Topics on the cloud as well on-premise.
- Defining scenarios within autonomous transport systems to apply data-driven methods.
- Developing software and services.
- Designing algorithms for data analysis within autonomous transport system domain.
Required Skills
- Solid experience in Apache Kafka (Stream Processing Platform) and Event-Driven Systems.
- Design, develop, and maintain scalable data pipelines and solutions using Databricks, integrating with AWS, to process and analyze large datasets for business insights.
- Demonstrated experience in Alarming, Monitoring and Logging for Event-driven Systems.
- Solid experience in AWS (Amazon Web Services) Cloud Computing Platform. Experience in Other cloud computing platforms (e.g. Microsoft Azure) is a plus.
- Knowledge and experience in Terraform (Infrastructure as Code tool for cloud).
- Knowledge and experience in CI/CD and GitLab.
- Solid experience in Java Programming Language.
- Solid experience in Python (with focus on Machine Learning and Data Analytics).
- Knowledge and experience in Machine Learning and Data Analytics tools such as Databricks, Apache Spark, TensorFlow etc.
- Good theoretical background in Machine Learning, Big Data Analytics and Statistics.
- Master’s or Bachelor’s degree in Data Analytics, Computer Science, Information Technology or another related fields.
- Proficiency in English.
Desired Skills
- Knowledge in other AI areas such as AI Planning, Generative AI, Knowledge Representation, Autonomous Robotics etc. is a plus.
- Applicable for Engineering and IT roles included on T&M Frame Agreement.
