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).

Soft Skills:

-Strong analytical and problem-solving abilities.

-Excellent communication and teamwork skills.

-Ability to work independently and manage multiple tasks effectively.

-A proactive approach to learning new technologies and improving existing processes.