Have a track record with Kafka technology, with hands-on production experience and a deep understanding of the Kafka architecture and internals of how it works, along with interplay of architectural components: brokers, Zookeeper, producers/consumers, Kafka Connect, Kafka Streams
Strong fundamentals in Kafka administration, configuration, and troubleshooting
Knowledge of Kafka clustering, and its fault-tolerance model supporting HA and DR
Practical experience with how to scale Kafka, KStreams, and Connector infrastructures, with the motivation to build efficient platforms
Experience with Kafka Streams / KSQL architecture and associated clustering model
Hands-on experience as a developer who has used the Kafka API to build producer and consumer applications, along with expertise in implementing KStreams components. Have built pipelines, as well as deployed KStreams clusters
Experience with developing KSQL queries and best practices of using KSQL vs KStreams"