Data Engineer

vor 4 Wochen

Berlin, Deutschland ITSM Solutions International Vollzeit

We are currently looking for a Real-time Data Engineer to join our client in the Energy Sector, this position is long-term with the contract expected to last 1 year minimum. The project itself is mainly remote however it may require on-site attendance in Berlin, Germany following consultation.



DAILY TASKS:


  • 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.


  • Ensure software security by developing programs to actively monitor the sharing of private information.


  • 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.


Profile Requirements:


  • 5 years of experience in data engineering, with a focus on real-time data processing.


  • Proficiency in programming languages such as .Net, 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.


  • Excellent problem-solving and communication skills.


  • Ability to work effectively both independently and as part of a team in a fast-paced environment.



Framework data:

Start: ASAP

Duration: 1 Year ++

Workload: Full-time

Location: Remote (on site in Berlin after consultation)

Languages: English (German is nice to have)

Area: Energy sector

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