Kafka Developer / Lead

We are looking for Kafka Developer / Lead for our client in Vernon Hills, IL Job Title: Kafka Developer / Lead Job Location: Vernon Hills, IL Job Type: Contract Job Description: Responsibilities:

• Hands-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, Salesforce, 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.