Kafka Engineer

Role Description : Key skills required for Kafka messaging troubleshooting : ? Deep understanding of Kafka architecture : Thorough knowledge of how Kafka components like brokers, topics, partitions, consumer groups, and replication factors work together. ? Log analysis : Ability to interpret Kafka logs from producers, consumers, and brokers to identify error messages, warnings, and potential issues. ? Monitoring and metrics : Familiarity with monitoring tools to track key Kafka metrics like consumer lag, message throughput, broker CPU usage, and network latency. ? Distributed systems knowledge : Understanding of concepts like fault tolerance, data replication, leader election, and distributed consensus to troubleshoot issues related to cluster failures. ? Programming language proficiency : Strong coding skills in Java or Scala, as many Kafka applications are written in these languages, allowing you to debug custom producers and consumers. ? Network troubleshooting : Ability to diagnose network connectivity issues between brokers and clients, including checking network configurations and firewall rules. ? Kafka configuration management : Knowledge of Kafka configuration parameters, including topic creation, partition settings, replication factors, and consumer group settings. ? Security understanding : Awareness of Kafka security mechanisms like authentication, authorization, and encryption to troubleshoot related issues. ? Troubleshooting tools and techniques : Familiarity with Kafka management tools, command-line utilities, and debugging techniques to investigate and resolve issues. ? Consumer lag : Identifying the cause of high consumer lag (e.g., slow processing, insufficient consumers) and adjusting consumer configurations or application logic. ? Broker failures : Analyzing logs and metrics to determine the root cause of a broker failure and taking actions like rebalancing partitions or restarting the broker. ? Message delivery issues : Investigating missing messages, message duplication, or out-of-order delivery by examining producer and consumer configurations. ? Performance bottlenecks : Identifying performance issues related to high message throughput, network congestion, or slow disk I / O and optimizing Kafka settings. As Kafka DeveloperA strong proficiency in Confluent Kafka architecture, a programming language like Java or Scala, expertise in system design, data management skills, and the ability to understand and implement data streaming pipelines.Key skills required for Kafka Developer : ? Deep understanding of Confluent Kafka : Thorough knowledge of Kafka concepts like producers, consumers, topics, partitions, brokers, and replication mechanisms. ? Programming language proficiency : Primarily Java or Scala, with potential for Python depending on the project. ? System design and architecture : Ability to design robust and scalable Kafka-based data pipelines, considering factors like data throughput, fault tolerance, and latency. ? Data management skil Competencies : Digital : Kafk

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.