Senior Data Streaming & Analytics Developer – 10971

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Assignment Description:
We are looking for a Senior Data Streaming & Analytics Developer to join our dynamic team.
What You Will Work On:
Design and develop robust data pipelines to process and integrate data from various sources, ensuring seamless delivery to end users.
Create and manage Kafka topics on both cloud and on-premise platforms to enable efficient data streaming and processing.
Define and implement scenarios within autonomous transport systems to leverage data-driven methods for operational enhancements.
Develop software solutions and services tailored to autonomous transport systems, optimizing the use of big data.
Design and implement algorithms for advanced data analysis within the domain of autonomous transport systems.
Collaborate with a team of professionals to drive innovation and operational excellence in autonomous transport systems.

What You Bring:
Proven expertise in Apache Kafka and event-driven systems, with hands-on experience in alarming, monitoring, and logging for such systems.
Strong skills in designing, developing, and maintaining scalable data pipelines using Databricks, integrated with AWS cloud services.
Solid experience in AWS, with additional knowledge of other cloud platforms like Microsoft Azure as a plus.
Proficiency in Terraform for Infrastructure as Code (IaC) and experience with CI/CD processes and GitLab.
Advanced programming skills in Java and Python, with a focus on machine learning and data analytics.
Familiarity with machine learning frameworks and tools such as Apache Spark, TensorFlow, and Databricks, with a sound theoretical background in machine learning, big data analytics, and statistics.
Enthusiasm for leveraging data to drive insights and innovation within cyber-physical systems.
A Master’s or Bachelor’s degree in Data Analytics, Computer Science, Information Technology, or a related field, coupled with 2–5 years of relevant professional experience.
Proficiency in English, with knowledge of additional AI areas such as AI Planning, Generative AI, Knowledge Representation, or Autonomous Robotics considered a plus.