Address
Form of workHands-on production experience and a deep understanding of the Kafka architecture and internals of how it works, along with the 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
Best practices to optimize the Kafka ecosystem based on use-case and workload, e.g. how to effectively use topic, partitions, and consumer groups to provide optimal routing and support of QOS
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 developed KStreams pipelines, as well as deployed KStreams clusters
Experience with developing KSQL queries and best practices of using KSQL vs streams
Strong knowledge of the Kafka Connect framework, with experience using several connector types: HTTP REST proxy, JMS, File, SFTP, JDBC, Splunk, Client, and how to support wire-format translations. Knowledge of connectors available from Confluent and the community
Hands-on experience in designing, writing and operationalizing new Kafka Connectors using the framework
The familiarity of the Schema Registry
Development Languages
Solid programming proficiency with Java, and best practices in development
Experience with monitoring Kafka infrastructure along with related components (Connectors, KStreams, and other producers/consumer apps)
Familiarity with Confluent Control Center
Working knowledge of Splunk, how it integrates with Kafka, and using it effectively as a Kafka operational tool
