Confluent Kafka Engineer

Confluent Kafka Engineer

• Overall, 8 to 10 years of IT Experience.
• Minimum 5 years of experience working with Confluent Kafka and handling critical 24/7 applications.
• Expertise in designing and providing solution for real time data processing using Kafka for different use cases in the company.
• Expertise with Confluent Kafka components brokers, zookeepers, Connectors, schema registry, KSQLDB, topics, ACL's, Control Center.
• Expertise in installing and configuring Confluent Source and Sink connectors to send and receive data from various applications.
• Expertise in creating Kstreams using KSQLDB for various use cases.
• Experience with AWS EKS cluster, nodes, pods, and Kubernetes commands
• Experience in handling the complex non structured data like nested Json, Avro and relational data.
• Experience working in AWS cloud and its services like s3, Lambda, RDS.
• Experience with the Amazon MSK brokers and zookeepers is preferred.
• Solid knowledge on monitoring the usage of the Kafka components and configuring alerts using Splunk.
• Confluent Certification CCDAK (or) CCAAK is highly desirable.
• Troubleshoot Kafka incidents and problem management including timely problem identification, successful resolution, and root-cause analysis.
• Document and provide guidance to the team on the best practices and standards to follow using Kafka components.
• Healthcare domain knowledge is a huge plus.