Key Responsibilities

• Designing and implementing Kafka clusters for real-time data streaming and processing
• Configuring Kafka brokers, topics, partitions, and consumers to optimize performance and scalability
• Monitoring Kafka clusters for performance issues and troubleshooting and resolving any issues that arise
• Working with data engineers to ensure data quality, reliability, and integrity within Kafka clusters
• Collaborating with software developers to integrate Kafka with other systems and applications
• Providing support and training to users and stakeholders on Kafka best practices and usage
• Working with system administrators to ensure the security and compliance of Kafka clusters

 

Required Experience

• 5+ years of experience on Kafka Cluster, Confluent cloud, Partitions, Security, Disaster recovery, Data pipeline, Data replication.
• 5+ years of experience in building producer applications for Kafka and Configuration in KAFKA, preferably cloud native applications.
• 2+ Experience in diagnosing, Troubleshooting, and solving Kafka issues and maintaining the documentation for the same.
• 3+ years of experience with any or all the following: Agile/Scrum Development & Management, Scaled Agile Framework, Iterative & Incremental development approaches, Continuous Integration, and delivery
• 3+ years of experience with design considerations for high volume transaction systems
• 2+ years of experience on Leading, Architecting and capacity planning the kafka clusters, brokers, Producer, Consumers,  self-managed connectors, schema registry both on confluent Platform and confluent cloud.