Kafka Developer

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 Developer

A 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 skills: Understanding of data serialization formats like JSON, Avro, and Protobuf, and how to manage data schema evolution. 

• Kafka Streams API (optional): Knowledge of Kafka Streams for real-time data processing within the Kafka ecosystem. 

• Monitoring and troubleshooting: Familiarity with tools to monitor Kafka cluster health, identify performance bottlenecks, and troubleshoot issues. 

• Cloud integration : Experience deploying and managing Kafka on cloud platforms like AWS, Azure, or GCP. 

• Distributed systems concepts: Understanding of concepts like distributed consensus, leader election, and fault tolerance. 

• Security best practices: Knowledge of Kafka security features to implement authentication and authorization mechanisms. 

• Communication and collaboration: Ability to work effectively with other developers, data engineers, and stakeholders to design and implement Kafka solutions. 

Other Skills required:

• Strong Experience with Kafka connect / KSQL architecture and associated clustering model.

• Hands on experience with Kafka Db connector for Oracle, Mysql.

• Strong fundamentals and experience in Kafka administration, configuration, and troubleshooting.

• Understand and experience with Kafka clustering, and its fault-tolerance model supporting HA and DR.

• Have developed KStreams pipelines, as well as deployed KStreams clusters.

• Strong problem-solving skills and a passion for debugging complex issues and mature code.

• Experience with using agile methodologies for software development.

• Experience with developing KSQL queries and best practices of using KSQL vs streams.

• Familiarity with Confluent Control Center; or have worked on Kafka Monitoring Tool (UI).

• Ability to work in fast-paced and dynamically changing environment.

• Ability to lead the effort; and work with minimum supervision.

Duties & Responsibilities:

• Standalones identify and rectify the Kafka Messaging issues within justifying time.

• Work with the business and IT team to understand business problems, and to design implement, and deliver an appropriate solution using Agile methodology across the larger program.

• Work independently to implement solutions on multiple platform (DEV, QA, UAT, PROD).

• Provide technical direction, guidance, and reviews to other engineers working on the same project.

• Administer Distributed kafka cluster in Dev,QA, UAT, PROD environments and troubleshoot performance issue

• Implement and debug subsystems/microservice and components.

• Follows automate-first/automate-everything philosophy.

• Hands on in programming languages