Kafka Developer | On-site | W2 only |

XlysiHartford, CT
7dOnsite

About The Position

Key Responsibilities: Design, develop, and maintain real-time streaming solutions using Apache Kafka Build and manage Kafka producers, consumers, and streams Implement data pipelines and event-driven architectures Ensure high availability, scalability, and fault tolerance of Kafka clusters Monitor, troubleshoot, and optimize Kafka performance Integrate Kafka with various data sources and downstream systems Work closely with data engineers, backend developers, and DevOps teams Implement security, data governance, and best practices in streaming systems Required Skills & Qualifications: Strong experience with Apache Kafka and its ecosystem (Kafka Streams, Connect, Schema Registry) Proficiency in Java, Scala, or Python Experience with distributed systems and microservices architecture Good understanding of messaging systems and event-driven design Knowledge of REST APIs and data integration techniques Experience with cloud platforms like AWS, Azure, or GCP Familiarity with containerization tools like Docker and Kubernetes Strong problem-solving and debugging skills

Requirements

  • Strong experience with Apache Kafka and its ecosystem (Kafka Streams, Connect, Schema Registry)
  • Proficiency in Java, Scala, or Python
  • Experience with distributed systems and microservices architecture
  • Good understanding of messaging systems and event-driven design
  • Knowledge of REST APIs and data integration techniques
  • Experience with cloud platforms like AWS, Azure, or GCP
  • Familiarity with containerization tools like Docker and Kubernetes
  • Strong problem-solving and debugging skills

Responsibilities

  • Design, develop, and maintain real-time streaming solutions using Apache Kafka
  • Build and manage Kafka producers, consumers, and streams
  • Implement data pipelines and event-driven architectures
  • Ensure high availability, scalability, and fault tolerance of Kafka clusters
  • Monitor, troubleshoot, and optimize Kafka performance
  • Integrate Kafka with various data sources and downstream systems
  • Work closely with data engineers, backend developers, and DevOps teams
  • Implement security, data governance, and best practices in streaming systems
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