Was die Firma über den Job sagt

For our client in Berlin we currently looking for a freelance Realtime Data Engineer (m/f/d)

#Keyfacts

#Tasks/Activity Description

Design, develop, and maintain real-time data pipelines and streaming applications.
Architect and implement streaming data ingestion processes from various sources, ensuring reliability, scalability, and low-latency processing.
Optimize and tune performance of real-time data processing systems for efficiency and throughput.
Implement monitoring, alerting, and logging solutions to ensure the health and reliability of real-time data infrastructure.
Develop, maintain and use deployment pipelines (following infrastructure as code paradigm)
Producing clean, efficient code based on specifications and guidelines
Self steered pick up on the assigned software development track and incidents
Collaborate with peers in the assigned projects such as TMD architects, other members of the SCRUM product team and experts and Data Architects
Professionally maintain all software and create updates regularly to address customer and company concerns
Analyze and test programs and products before formal launch
Troubleshoot coding problems quickly and efficiently to ensure a productive workplace
Actively seek ways to improve business software processes and interactions
Preparation of training materials and delivery of training to other project team members in the use of software applications
Join daily stand-up meetings and project meetings on site or remote and work in a scaled scrum environment

#Offer requirements/profile requirements

#must haves

Bachelor's degree or higher in Computer Science, Engineering, or related field.
5 years of experience in data engineering, with a focus on real-time data processing.
Proficiency in programming languages such as Python, Java, or Scala.
Strong experience with real-time data processing frameworks such as Apache Kafka, Apache Flink, or Apache Spark Streaming.
Solid understanding of distributed computing principles and microservices architecture.
Experience with on-premise Kubernetes platforms as well as with cloud and platforms such as AWS, GCP, or Azure.
English language skills (Level C1)

If you are interested in this Project, I look forward to receiving your current CV, with information about your hourly rate.

Realtime Data Engineer (mf/d) - Ref. 106232