Kafka Admin

DIATOZ SOLUTIONS PVT LTD is looking for Kafka Admin to join our dynamic team and embark on a rewarding career journey. A Kafka Admin, also known as a Kafka Administrator or Kafka Ops Engineer, is a professional responsible for managing and maintaining Apache Kafka clusters in an organization. Kafka is an open-source distributed streaming platform that is widely used for building real-time streaming data pipelines and event-driven architectures. The responsibilities of a Kafka Admin may include : Cluster Deployment and Configuration : Installing and configuring Kafka clusters, including setting up brokers, ZooKeeper ensemble, and other components. Kafka Admins ensure that the cluster is properly provisioned and optimized for performance, scalability, and fault tolerance. Cluster Monitoring and Maintenance : Monitoring the health and performance of Kafka clusters, identifying and resolving issues, and ensuring high availability and reliability. Kafka Admins use monitoring tools to track key metrics such as throughput, latency, and disk utilization, and they perform regular maintenance tasks like log retention, compaction, and data cleanup. Security and Access Control : Implementing security measures to protect Kafka clusters and data. Kafka Admins configure authentication and authorization mechanisms, such as SSL/TLS encryption, SASL (Simple Authentication and Security Layer), and ACLs (Access Control Lists) to control access to topics and resources. Capacity Planning and Scaling : Assessing the resource requirements of Kafka clusters and planning for future capacity needs. Kafka Admins analyze usage patterns, data volume, and traffic trends to estimate resource requirements and scale the clusters accordingly to handle increasing workloads. Troubleshooting and Performance Optimization : Identifying and resolving issues related to Kafka cluster performance, data replication, message delivery, and consumer lag. Kafka Admins analyze logs, monitor system metrics, and utilize diagnostic tools to troubleshoot and optimize cluster performance.