Kafka Engineer Job Description

This template is designed to help you draft a comprehensive job description for a Kafka Engineer position. It outlines the key responsibilities, qualifications, and skills necessary for the role, aiming to attract candidates who are proficient in Apache Kafka and align with your organization’s data processing and streaming goals.

A Kafka Engineer specializes in designing, implementing, and maintaining systems based on Apache Kafka, a distributed streaming platform. They are responsible for managing Kafka clusters, optimizing data pipelines, and ensuring efficient data streaming and processing.

Kafka Engineer Job Description Template

We are seeking an experienced Kafka Engineer to join our team. In this role, you will be responsible for developing and managing robust Kafka clusters, optimizing data streaming processes, and integrating Kafka with various data sources and consumers. Your expertise in Kafka and distributed systems will play a crucial role in our data architecture and streaming capabilities.

Kafka Engineer Responsibilities

• Design, develop, and manage robust Kafka clusters.
• Optimize and maintain Kafka brokers, zookeepers, and Kafka connect clusters.
• Implement data streaming and processing solutions using Apache Kafka.
• Monitor Kafka cluster performance and ensure its high availability and resilience.
• Integrate Kafka with various databases, data lakes, and data processing frameworks.
• Work on Kafka cluster upgrades, migrations, and expansions.
• Troubleshoot and resolve issues related to Kafka clusters and data pipelines.
• Collaborate with cross-functional teams to understand data requirements and build efficient streaming solutions.
• Document Kafka architecture, configurations, and procedures.

Kafka Engineer Reports To

• Data Engineering Manager
• Head of Data Architecture

Kafka Engineer Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• [X-Y years] of experience in managing and optimizing Kafka clusters.
• Strong knowledge of Kafka internals, including topics, partitions, brokers, producers, consumers, and streaming APIs.
• Experience with Kafka monitoring tools and best practices.
• Familiarity with distributed systems and cloud technologies.
• Proficiency in programming languages like Java, Scala, or Python.
• Experience in data pipeline and workflow management tools.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.