Real-Time Data Processing Expert

3 weeks ago


Bengaluru, Karnataka, India Ahvi Infotech Full time
About the Role

We are seeking a highly skilled Kafka Developer to join our team at Ahvi Infotech. The ideal candidate will have a strong background in Apache Kafka, Java, and distributed systems, with hands-on experience in building and optimizing Kafka-based applications.

As a Kafka Developer, you will be responsible for creating high-performance and reliable Kafka clusters, handling streaming data, and designing scalable solutions using Java, Spring Boot, and Microservices architecture.

Key Responsibilities
  • Design, develop, and implement Kafka producers and consumers to handle real-time data processing.
  • Buiild Kafka-based applications using Java, Spring Boot, and Microservices architecture to ensure high throughput and low latency.
  • Develop and configure Kafka Source/Sink Connectors and Kafka REST Proxy for seamless data integration.
  • Set up and manage Kafka Topics, brokers, and Zookeeper instances to ensure fault tolerance in real-time data streaming systems.
  • Monitor and optimize Kafka clusters to achieve optimal performance, reliability, and scalability.
  • Troubleshoot and handle exceptions, failure scenarios, and data consistency issues in Kafka applications.
  • Integrate Kafka with other systems and platforms for data ingestion and streaming pipelines.
  • Deploy and manage Kafka applications in Kubernetes environments for scalable and containerized solutions.
  • Stay updated with the latest trends and best practices in distributed systems and real-time data processing.
Required Skills and Qualifications
  • Hands-on experience with Apache Kafka and knowledge of its architecture.
  • Proficient in creating and managing Kafka Producers, Consumers, and Topics.
  • Experience with Kafka Connect, Source/Sink Connectors, and REST Proxy.
  • Strong proficiency in Java, Spring Boot, and building Microservices.
  • Familiarity with distributed systems and streaming data architecture.
  • Experience in setting up and optimizing Kafka clusters.
  • Basic understanding of KSQL for stream processing.
  • Familiarity with message queues, big data processing, and real-time data handling.
  • Experience with Kubernetes for deploying Kafka applications is a strong plus.
Estimated Salary

$120,000 - $180,000 per year, depending on location and experience.



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