Archiviertes Projekt - Realtime Data Engineer (m/w/d)

Aktuell sind wir für einen unserer Kunden auf der Suche nach einem Realtime Data Engineer.


Auslastung: 100%

95% Remote

5% Berlin


Zu Ihren Aufgaben gehören:

+ 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

Anforderungen:

MUST:

+ 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)


NICE:

+ Excellent problem-solving and communication skills

+ German language skills

Konnten wir Ihr Interesse wecken? Dann freuen wir uns auf die Zusendung Ihres aussagekräftigen Expertenprofils unter Angabe Ihrer Stundensatzvorstellung.

Start: 20.06.2024
Dauer: 6 Monate ++
Ort: Remote