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Kafka Engineer

DICETEK LLC
, UAE
Yesterday
engineeringdesignproject managementmaintenancequality controltechnical
Free

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Overview

  • ***Job Summary:***
  • *We are seeking a highly skilled Confluent Kafka Engineer to join our dynamic team.
  • The ideal candidate will be responsible for the development, User Acceptance Testing (UAT), and production support of our Confluent Kafka-based systems.
  • This role requires deep expertise in Kafka architecture, including Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.
  • The engineer will collaborate closely with cross-functional teams to ensure the smooth operation of our data streaming services and provide support across various environments.*
  • ***Key Responsibilities:***
  • ***Development:***
  • *Design, develop, and implement Kafka-based solutions to meet business requirements, utilizing Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.*
  • *Write and maintain high-quality code for Kafka producers, consumers, and stream processing applications.*
  • *Develop and manage Kafka connectors for seamless integration with external systems, ensuring data consistency and reliability.*
  • *Utilize Kafka Streams for real-time processing of streaming data, transforming and enriching data as it flows through the pipeline.*
  • *Employ KSQLDB for stream processing tasks, including real-time analytics and transformations.*
  • *Collaborate with data engineers, software developers, and DevOps teams to integrate Kafka solutions with existing systems.*
  • *Ensure all Kafka-based solutions are scalable, secure, and optimized for performance.*

***User Acceptance Testing (UAT):***

  • *Develop and execute UAT plans to validate Kafka solutions, including components such as Kafka Streams, KSQLDB, and Kafka Connect, before deployment to production.*
  • *Work closely with QA teams to identify and resolve defects during the UAT phase.*
  • *Ensure all UAT activities comply with the organization’s standards and best practices.*
  • *Provide detailed reports on UAT outcomes and work with developers to implement necessary fixes.*
  • ***Production Support:***
  • *Monitor and maintain Kafka clusters, including components like Confluent Control Center, to ensure high availability and reliability of data streaming services.*
  • *Troubleshoot and resolve issues related to Kafka performance, latency, and data integrity, including issues specific to Kafka Streams, KSQLDB, and Kafka Connect.*
  • *Perform routine maintenance tasks such as patching, upgrades, and backups for Kafka clusters and associated components.*
  • *Implement monitoring solutions to proactively identify and mitigate potential production issues, leveraging Confluent Control Center for comprehensive cluster visibility.*
  • *Provide 24/7 support for production systems, including participation in on-call rotation.*
  • ***Qualifications:***
  • ***Education:*** *Bachelor’s degree in Computer Science, Information Technology, or a related field.*
  • ***Experience:***
  • *3+ years of hands-on experience with Apache Kafka and Confluent Kafka in a production environment, including experience with Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.*
  • *Proven experience in Kafka development, including producer and consumer API, stream processing, and connector development.*
  • *Experience with Kafka cluster management, including setup, configuration, monitoring, and troubleshooting.*
  • *Familiarity with distributed systems, microservices architecture, and event-driven design patterns.*
  • *Experience with cloud platforms (e.g., AWS, Azure) and containerization (Kubernetes) is a plus.*
  • ***Technical Skills:***
  • *Proficiency in programming languages such as Java, Python, or Scala.*
  • *Strong knowledge of Kafka internals, including brokers, zookeepers, topics, partitions, and offsets.*
  • *Experience with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks (e.g., Log4j, ELK Stack).*
  • *Proficiency in using Confluent Control Center for monitoring, managing, and optimizing Kafka clusters.*
  • *Expertise in Kafka Streams for building scalable, fault-tolerant stream processing applications.*
  • *Experience with KSQLDB for real-time processing and analytics on Kafka topics.*
  • *Strong understanding of Kafka Connect for integrating Kafka with external data sources and sinks.*
  • *Understanding of networking, security, and compliance aspects related to Kafka.*
  • *Familiarity with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).*

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