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About the role
Job Description: 8+ years skilled and experienced in design, development, and maintaining real-time data streaming applications using Java and Apache Kafka. Data pipeline development: Design, build, and maintain real-time data streaming pipelines using Apache Kafka and Java. Kafka application development: Develop and implement Kafka producer and consumer applications, including microservices. Integration: Integrate Kafka with various existing systems, databases, and data sources. Performance optimization: Monitor and troubleshoot Kafka cluster performance, topics, and brokers for efficiency and scalability. Maintenance and support: Support and upgrade existing Kafka implementations and troubleshoot issues. Security and compliance: Implement security measures to protect data streams and meet compliance standards. To be skilled and experienced in: Core Java : Strong proficiency in Java, including concepts like multi-threading, concurrency, and collections. Apache Kafka : Deep knowledge of Kafka architecture, features, and components like Kafka Streams, ZooKeeper, and Schema Registry. Messaging and streaming: Experience with messaging and stream processing on Kafka. Microservices: Experience with microservices architecture, as many Kafka applications are built as microservices. Databases: Experience with databases and data warehousing technologies (e.g., PostgreSQL, Oracle) is often required or preferred Frameworks: Experience with frameworks like Spring (Spring Boot, Spring JPA) and ORM frameworks. Big data technologies: Familiarity with big data technologies like Spark, Hadoop, or Snowflake.
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