Confluent/Kafka Engineer

Overview

Remote
$55 - $85
Full Time
No Travel Required

Skills

data streaming
AWS
AZURE
GCP
CI/CD
Kafka Connect
Kafka Streams
Confluent
Kafka

Job Details

Job Title

Associate Confluent/Kafka Engineer

Location

Remote.

Duration

Contractual 06+ months ( Contact to hire opportunity)

Note: Must complete the Associate Confluent/Kafka Engineer Assessment

Responsibilities and Duties:

  • 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.

Required Qualifications:

  • 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 Qualifications:

  • 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.