Kafka Developer

Job Title : Kafka DeveloperLocation : Noida / Chennai / PuneEducation : B.E. / B.Tech.Year of Experience : 8-10 YearsAbout usAt R Systems we are shaping the future of technology by designing cutting-edge software #products , platforms, and #digital experiences that drive business growth for our clients.Our product mindset and advanced engineering capabilities in #Cloud , Data, #AI, and Customer Experience empower us to deliver innovative solutions to key players across the high-tech industry. This includes ISVs, SaaS, and Internet companies, as well as leading organizations in #telecom , #media , #healthcare , #finance , and #manufacturing .We are Great Place To Work Certified in 10 countries where we have a full-time workforce - India, the USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia, and Thailand.Mandatory Requirements : A degree in Computer Science, IT, or a related field.Kafka Expertise – Strong knowledge of Kafka architecture, brokers, producers, consumers, and stream processing.Programming Skills – Proficiency in Java, Scala, or Python for developing Kafka-based applications.Big Data & Streaming Technologies – Experience with Spark, Flink, or Apache Storm is a plus.Database Knowledge – Familiarity with SQL and NoSQL databases like Cassandra, MongoDB, or PostgreSQL.Cloud & DevOps – Experience with cloud platforms (AWS, Azure, GCP) and Kubernetes / Docker.Event-Driven Architecture – Understanding of event-driven and microservices architectures.Monitoring & Debugging – Experience with Kafka monitoring tools like Confluent Control Center, Kafka Manager, or ELK stack.Security & Scalability – Knowledge of Kafka security, access control, and scaling strategies.Problem-Solving & Communication – Strong analytical skills and ability to work in cross-functional teamsRoles & Responsibilities : Kafka Application Development – Design, develop, and maintain real-time data streaming applications using Apache Kafka.Topic Management – Create and manage Kafka topics, partitions, and replication factors.Data Pipeline Development – Build and optimize data pipelines for real-time data processing.Producer & Consumer Implementation – Develop Kafka producers and consumers for seamless data exchange between systems.Integration & Connectivity – Integrate Kafka with databases, cloud services, and other messaging platforms.Performance Optimization – Monitor and fine-tune Kafka clusters for low latency and high throughput.Security & Compliance – Implement security best practices, including SSL, SASL, and authentication mechanisms.Cluster Administration – Manage Kafka clusters, brokers, ZooKeeper, and ensure high availability.Monitoring & Logging – Use tools like Prometheus, Grafana, or Kafka Manager for monitoring and troubleshooting.Documentation & Best Practices – Maintain documentation for Kafka configurations, data flow, and architectural decisions.Mandatory SkillsJava, Apache Kafka, Kafka Streams, Kafka, Apache Zookeeper, Kafka Cluster, Kafka Administrator, Microservices