Arbetsbeskrivning

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.