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HAN | Hanover, United States | Posted June 07, 2026
Position Overview
Job Description:
Design and implement scalable real-time data processing pipelines using Apache Kafka, Kafka Streams (kstream), and Apache Flink. Collaborate with data engineers, software developers, and data scientists to build robust streaming solutions that meet business needs. Optimize and monitor streaming jobs for performance, reliability, and scalability. Ensure data quality, consistency, and governance in real-time pipelines. Develop metrics and monitoring dashboards to ensure observability across streaming systems. Work on integration of real-time data pipelines with downstream data stores (, PostgreSQL, Elasticsearch, S, DWHs). Participate in architecture discussions and help define best practices for stream processing. Required Skills:
+ years of experience in real-time data processing and streaming analytics. Strong hands-on experience with Apache Kafka, particularly...