JAVA Developer(Job No 905)

• Develop Kafka-based Solutions: Design and implement scalable, fault-tolerant Kafka producers and consumers in Java.
• Real-time Data Processing: Work with Kafka Streams or other stream-processing tools to process large volumes of real-time data efficiently.
• Kafka Integration: Integrate Kafka with other systems and services (such as databases, data warehouses, microservices, etc.) for seamless data flow.
• Optimize Kafka Performance: Tune Kafka clusters, consumer groups, and producers for optimal throughput and fault tolerance.
• Data Modeling: Collaborate with data engineers to create data models and structures that best fit Kafka’s architecture and improve data ingestion and retrieval.
• Monitoring and Troubleshooting: Set up and maintain monitoring tools to track Kafka consumer/producer performance, troubleshoot Kafka-related issues, and ensure the system’s uptime.
• Collaborate with Cross-functional Teams: Work closely with backend developers, DevOps engineers, and data scientists to ensure Kafka pipelines align with the company’s data architecture.
• Documentation: Document Kafka-related processes, designs, and API interfaces to help internal teams understand and maintain the system.

Skills and Qualifications:

• Strong Java Development Skills: Expertise in Java 8 or later versions.
• Kafka Experience: Practical experience with Apache Kafka, including setting up, configuring, and maintaining Kafka brokers, creating Kafka producers/consumers, and working with Kafka Streams.
• Distributed Systems Knowledge: Understanding of distributed architectures and concepts such as fault tolerance, scalability, and load balancing.
• Stream Processing: Experience with stream processing frameworks like Kafka Streams, Apache Flink, or similar technologies is a plus.
• Message Queue Systems: Knowledge of message queue systems and protocols (e.g., Kafka, RabbitMQ, or similar).
• Microservices: Experience with microservices architecture and how Kafka fits within microservices-based systems.
• Database Integration: Experience with integrating Kafka with relational (MySQL, PostgreSQL) or NoSQL databases (MongoDB, Cassandra).
• Performance Tuning: Ability to optimize and fine-tune Kafka producers, consumers, and Kafka clusters.
• Tools: Familiarity with tools like Zookeeper, KSQL, Confluent Platform, and Schema Registry is a plus.
• CI/CD & Version Control: Experience with Git, Jenkins, and building automated deployment pipelines.
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