Description

📍Experience with Kafka Streams / KSQL architecture and associated clustering model 📍Solid programming proficiency with Java, and best practices in development, automation testing and streaming APIs 📍Practical experience with how to scale Kafka, KStreams, and Connector infrastructures 📍Best practices to optimize the Kafka ecosystem based on use-case and workload, e.g. how to effectively use topic, partitions, and consumer groups 📍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 Kstreams 📍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 📍Familiarity with Schema Registry.

Requirements

📍Minimum 8 Years of experiences 📍Have four-year college degree in Science, Engineering, Technology, Business or Humanities. 📍Prefer candidates with Masters degree and/or certifications in the technologies. 📍Should be able to provide needed thought leadership for the Team in the respective arena 📍Good in both verbal and written communication 📍Good Team player 📍Ready to go extra mile for keeping the Team up