Associate Staff Engineer (Data Engineer -Apache Kafka, Flink, Java)

👋🏼We're Nagarro . We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Requirements Minimum 4+ years of experience in Data Engineering with a focus on real-time data processing and streaming technologies. Strong hands-on experience in Java development and building enterprise-grade applications. Expertise in Apache Kafka, including Producers, Consumers, Topics, Partitions, Consumer Groups, Kafka Connect, and event-driven architectures. Hands-on experience with Apache Flink for real-time stream processing, stateful computations, windowing, and fault-tolerant data pipelines. Experience designing, developing, and deploying scalable real-time streaming data pipelines. Solid understanding of distributed systems, messaging patterns, and high-throughput, low-latency data processing. Experience working with REST APIs, microservices, and integration frameworks. Good understanding of data ingestion, transformation, and processing techniques in streaming environments. Familiarity with real-time analytics and event-driven architectures. Experience working in Banking, Financial Services, or other mission-critical environments is preferred. Good understanding of containerization and cloud platforms is an added advantage. Strong analytical, problem-solving, and debugging skills. Excellent communication and stakeholder management skills. Responsibilities Design, develop, and maintain scalable real-time data pipelines using Apache Kafka, Java, and Apache Flink. Build and optimize low-latency, high-throughput streaming solutions for business-critical data processing needs. Develop event-driven applications and da