Job Description

Roles & 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.

Desired Candidate Profile

• 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).