KAFKA Developer
Skills
About This Role
Overview
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.
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.
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