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Lead Software Engineer
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CREQ241629 Requisition #

·      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

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