Kafka Architect

2 weeks ago

Orlando, United States Swift Technologies Inc Full time

Job Description:

Responsibilities:

  • Design and architect Kafka-based solutions to support scalable, high-performance data processing systems.
  • Lead the development and deployment of Kafka clusters, including setup, configuration, monitoring, and maintenance.
  • Collaborate with engineering, data science, and operations teams to understand requirements and translate them into Kafka-based solutions.
  • Develop and maintain best practices for Kafka deployment, management, and data streaming.
  • Design data models and implement data streaming pipelines to handle real-time data processing.
  • Optimize Kafka infrastructure for performance, scalability, and reliability.
  • Implement security measures to ensure data integrity and secure access to Kafka clusters.
  • Troubleshoot and resolve Kafka-related issues, including performance tuning and failure recovery.
  • Monitor Kafka clusters, set up alerting mechanisms, and ensure high availability.
  • Stay updated with the latest Kafka features and enhancements, and drive the adoption of new capabilities.
  • Mentor and guide junior engineers and developers in Kafka best practices and architecture.

Qualifications:

  • Proven experience in architecting and implementing large-scale Kafka environments.
  • Strong understanding of Kafka components such as brokers, topics, partitions, producers, consumers, and Kafka Connect.
  • Experience with Kafka Streams, KSQL, and Kafka Connect for building stream processing applications.
  • Familiarity with distributed systems, microservices architecture, and event-driven architectures.
  • Proficient in programming languages such as Java, Scala, or Python.
  • Experience with data modeling, data pipeline development, and ETL processes.
  • Strong understanding of network protocols, security, and encryption as it relates to Kafka.
  • Experience with monitoring tools like Prometheus, Grafana, or similar for Kafka.
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication skills to effectively collaborate with cross-functional teams.

Education:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Preferred Certifications:

  • Confluent Certified Developer for Apache Kafka
  • Certified Kubernetes Administrator (CKA) if dealing with containerized environments

Experience:

  • Minimum of 5 years of experience in data engineering or a similar role, with at least 2 years focused on Kafka.

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