Your Tasks
- Analyze and map existing data structures to a centralized data model
- Design and define Kafka-based data products
- Create event models, data contracts, topic structures, and best practices for
- Kafka implementations
- Develop, implement, and integrate scalable data products using
- Kafka Build and optimize event-driven data processing solutions
- Ensure an automated data operations lifecycle, including development, deployment, validation, and monitoring
- Collaborate closely with architects, developers, and data engineering teams to deliver robust data solutions
- Contribute to the continuous improvement of data engineering standards and best practices
Your Profile
University degree or equivalent qualification in Computer Science, Data Engineering, or a related field Several years of experience as a Senior Data Engineer , Data Platform Engineer, or in a similar role Strong hands‑on experience with Apache Kafka , Kubernetes, and Elasticsearch Expert knowledge of Kafka Streams , ksqlDB , or Apache Flink Proven experience designing and implementing event-driven architectures and Kafka-based data products Strong understanding of automated data operations lifecycles (Develop, Deploy, Validate, Observe) Solid experience with search technologies, especially Elasticsearch Analytical, structured, and solution-oriented working style Excellent communication skills and a collaborative mindset Fluent English (C2 level) #J-18808-Ljbffr
