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Streaming and analysis of large amounts of data from self-driving vehicles
Scania is undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions. For Scania, our people are the most valuable asset. The strong and supportive culture of Scania provides an organizational environment where each individual is seen, respected and can contribute. We trust each other to act and make decisions, and we believe in a more flexible future workplace based on individual needs.
Your role in a pioneering area
At the department of Autonomous System, we are developing transport solutions for the future. Autonomous transport environments such as autonomous mining sites or autonomous transport hubs are examples of cyber-physical systems that amongst other things, produce large amounts of data. We are looking for you, a Data Engineer who is enthusiastic to make this big data useful via appropriate data streaming, modeling, visualization and analysis.
The team
You will work closely together with a team of inspiring and engaged colleagues. We strive to be a diversified team in gender, age, ethnicity, experience level, etc. We work in an agile work environment inspired by SAFe, Scaled Agile Framework.
Our main development task is to support operations in autonomous transport systems via effective utilization of data.
Our offer
We offer a healthy and inspiring workplace, with respect for the individual, where you have great opportunities to shape your work and your future. Your personal and professional development is important and something we encourage and support.
In addition to career and development opportunities, Scania offers other benefits such as a discounted company car, performance bonus, occupational pension, flexible working hours, subsidized lunches, and much more. In Stockholm, we also offer a direct bus service between Stockholm and Södertälje with Scania Job Express. We work from home and at the office in Södertälje. So with some planning, you will find a good work/life balance.
Your 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 as 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.
Your qualifications
The ideal candidate should possess a Master's or Bachelor's degree in Data Analytics, Computer Science, Information Technology, or another related field, along with a few years of proven work experience in the relevant area. You should demonstrate solid experience in Apache Kafka (Stream Processing Platform) and Event-Driven Systems, as well as proficiency in Alarming, Monitoring, and Logging for Event-driven Systems. Additionally, you should have a strong background in AWS, and experience in other cloud computing platforms like Azure considered advantageous. Knowledge and experience in Terraform (Infrastructure as Code tool for cloud) and CI/CD and GitLab are also required.
Moreover, you should exhibit solid proficiency in Java and Python, with a focus on Machine Learning and Data Analytics. We also work with tools such as Databricks, Apache Spark, TensorFlow, among others, so experience in that comes in handy. Furthermore, familiarity with other AI areas such as AI Planning, Generative AI, Knowledge Representation, Autonomous Robotics, etc., is a plus.
As a person you're a team player, you like to share your knowledge and expertise. You are self-managing, structured, curious, dare to try, and work constantly to improve and optimize how and what we do.
Application
If you are interested and feel that you have a fair share of what is mentioned above, please apply!
Selections and interviews will take place on an ongoing basis throughout the application period but apply no later than 2024-04-22.
Your application should include a CV and degree certificate. Instead of a cover letter, please answer the questions stated when you submit your application. A background check might be conducted for this position.
For more information, contact Stefan Telhammar, Manager at EEAII, stefan.telhammar@scania.com, +46-8-553 530 58.
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