Confluent/Kafka Engineer

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Confluent
Kafka
Kafka Connect
Java
cala
Kotlin
Kafka architecture
Spark Streaming
Flink

Job Details

Job: Confluent/Kafka Engineer Remote Potential 6 Months Contract to Hire Will be required to complete Confluent/Kafka Engineer assessment

Job Description
We are looking for a Confluent/Kafka Engineer for a contract-to-hire opportunity that is full-time and fully remote.

What You ll Do
Implement and maintain Kafka-based data streaming solutions based on provided designs and specifications
Contribute to the development of new features and improvements to the existing platform
Develop and maintain integrations with various applications and systems using Kafka Connect
Monitor and maintain the health and performance of the Kafka cluster, escalating issues to senior engineers as needed
Participate in troubleshooting and resolution of issues within the data streaming platform
Contribute to the development and maintenance of documentation
Participate in code reviews and ensure adherence to coding standards and best practices
Proactively identify and address potential performance bottlenecks and scalability issues
Contribute to continuous improvement initiatives
Stay up to date on the latest Confluent Platform and Kafka technologies

What You ll Need

Required:

Bachelor's degree in Computer Science, Engineering, or a related field

Experience as a developer/operator of the Kafka technology (NOT interested in candidates who set up clusters for others to use)
Must have real-world experience setting up after Kafka real-time data streaming
2+ years of experience with Confluent Platform and Kafka
Proficient in Java or other JVM languages (e.g., Scala, Kotlin)
Experience with Kafka Connect, Kafka Streams, and ksqlDB
Strong understanding of Kafka architecture and concepts (topics, partitions, consumers, producers)
Experience with message queuing systems
Familiarity with cloud-based environments (AWS, Azure, Google Cloud Platform)
Excellent problem-solving and debugging skills
Experience with CI/CD
Ability to work independently and as part of a team. Excellent communication and collaboration skills.

Preferred:
Experience with other streaming technologies (e.g., Spark Streaming, Flink)
Experience with containerization technologies (e.g., Docker, Kubernetes)
Experience with data visualization and analytics tools.
Confluent Certified Engineer

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