Kafka Developer

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.

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