Kafka Engineer
· A bachelor's or master's degree or equivalent in Computer Science, Engineering, or related field.
· 5+ years of experience working with Confluent Platform including Kafka, KSQL, and Connect.
· Proficiency in Java and Spring Framework (Spring Boot).
· Familiarity with Kubernetes (OpenShift), Docker, Sterling, MQ, DB2 and Qlik Replicate
· Basic knowledge of Jenkins.
· Understanding of Schema Registry including schema evolution and Avro.
· Strong communication skills for effective collaboration across departments.
Looking for a Big Data Engineer to work with KAFKA and Confluent platform.
· Design, implement, and maintain data streaming solutions using Confluent Platform including Kafka, KSQL, and Connect.
· Collaborate with cross-functional teams to define architecture requirements and ensure smooth integration of Kafka into existing systems.
· Optimize performance and scalability of Kafka clusters.
· Develop monitoring tools to ensure high availability and reliability of the streaming infrastructure.
· troubleshoot and resolve any Kafka-related issues
· A bachelor's or master's degree or equivalent in Computer Science, Engineering, or related field.
· 5+ years of experience working with Confluent Platform including Kafka, KSQL, and Connect.
· Proficiency in Java and Spring Framework (Spring Boot).
· Familiarity with Kubernetes (OpenShift), Docker, Sterling, MQ, DB2 and Qlik Replicate
· Basic knowledge of Jenkins.
· Understanding of Schema Registry including schema evolution and Avro.
· Strong communication skills for effective collaboration across departments.
Looking for a Big Data Engineer to work with KAFKA and Confluent platform.
· Design, implement, and maintain data streaming solutions using Confluent Platform including Kafka, KSQL, and Connect.
· Collaborate with cross-functional teams to define architecture requirements and ensure smooth integration of Kafka into existing systems.
· Optimize performance and scalability of Kafka clusters.
· Develop monitoring tools to ensure high availability and reliability of the streaming infrastructure.
· troubleshoot and resolve any Kafka-related issues