We are looking for an experienced Kafka Administrator with in-depth expertise in managing and maintaining Confluent Kafka platforms. The ideal candidate will have hands-on experience with Kafka brokers, schema registry, KSQL DB, and Kafka connectors. Proficiency in deploying Kafka on Azure Kubernetes Service (AKS) and a solid understanding of Azure cloud services are essential. This role requires a proactive individual with strong problem-solving skills and the ability to ensure seamless Kafka operations in a cloud environment.

Key Responsibilities:

- Set up, maintain, and upgrade the Confluent Kafka platform, ensuring high availability and performance.
- Manage and troubleshoot Kafka Brokers to maintain optimal performance.
- Administer the Schema Registry and ensure compatibility across producers and consumers.
- Work extensively with KSQL DB, leveraging its capabilities and understanding its underlying implementation.
- Configure and maintain Kafka Connectors, with a deep understanding of their implementation and integration.
- Ensure seamless functioning of Kafka clients, including Producer and Consumer operations.




- Deploy and manage Kafka on Azure Kubernetes Service (AKS), ensuring scalability and reliability.
- Collaborate with cloud teams to optimize Kafka deployment and operations in the Azure cloud setting.

Requirements:

- Proven experience in Confluent Kafka platform setup, maintenance, and upgrades.
- Hands-on expertise with Kafka Brokers, Schema Registry, and KSQL DB.
- Strong knowledge of Kafka Connectors and client operations.
- Experience in deploying Kafka on Azure Kubernetes Service (AKS).
- Solid understanding of Azure cloud services and their integration with Kafka.
- Excellent problem-solving skills and the ability to troubleshoot complex Kafka issues.

Why Join Us

- Work on cutting-edge Kafka deployments in a cloud-native environment.
- Be part of a team that leverages the latest technologies to build robust data streaming solutions.
- Opportunity to work in a dynamic and collaborative work environment.

Skills: Etl, Gcp, Data Engineer

Experience: 4.00-7.00 Years

📌 Kafka Admin (Bengaluru)
🏢 SP Staffing Services Private
📍 Bengaluru