Handson 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 faulttolerance 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 usecase 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 Handson 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 Salesforce and how to support wireformat translations. Knowledge of connectors available from Confluent and the community Handson 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
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