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Beschreibung
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
