Job Summary We are looking for a highly skilled Kafka Developer with strong expertise in Confluent Kafka and Java development to design and implement event-driven architectures for real-time banking integrations The role involves building high-throughput low-latency streaming solutions ensuring data quality and governance and collaborating with multiple business units to deliver scalable secure and reliable data streaming solutions Key Responsibilities Develop and maintain event-driven architectures using Confluent Kafka for real-time integration across banking systems Core Banking CRM Fraud Detection Risk Compliance etc Design and implement Kafka producers and consumers to handle high-throughput low-latency banking transactions Build reusable streaming components using Kafka Streams and ksqlDB for fraud detection notifications operational alerts and analytics Collaborate with the Data Governance team to ensure data lineage quality and metadata standards are met Implement schema evolution best practices using Confluent Schema Registry for compatibility across multiple banking applications Work closely with platform DevOps cybersecurity and analytics teams for seamless delivery monitoring and operational support Contribute to integration roadmaps perform impact assessments and ensure alignment with overall data platform architecture Develop real-time use cases like customer onboarding status tracking transaction streaming digital engagement analytics and branch performance monitoring Gather requirements from Retail Islamic Finance Risk and Compliance business units and translate them into scalable Kafka-based solutions Required Technical Skills Java Proficiency Strong expertise in Core Java minimum 5 years Kafka Connect APIs Ability to implement custom Source and Sink connectors using Task interfaces in Java Schema Handling Experience with Schema Builder Struct schema evolution and Schema Registry Error Handling Retries Ability to build robust connectors that gracefully handle failures and support fault tolerance Integration Expertise Hands-on experience connecting to databases REST APIs SOAP services and external systems Kafka Fundamentals Deep understanding of topics partitions offsets consumer groups message retention and scaling strategies SQL Proficiency Ability to write complex SQL queries for data ingestion transformation and validation Connector Logs Robust debugging skills using Confluent Connect Logs and monitoring tools Preferred Qualifications Experience in banking or financial services domain with large-scale data integration projects Familiarity with microservices architecture and containerization Docker Kubernetes Knowledge of real-time data analytics platforms and cloud-based Kafka deployments AWS MS Azure GCP Exposure to CI CD pipelines monitoring and alerting frameworks Prometheus Grafana ELK etc Soft Skills Strong problem-solving and analytical skills Excellent communication and stakeholder management abilities Ability to work in fast-paced agile environments with cross-functional teams Education Bachelor s or Master s degree in Computer Science Information Technology or related field Job Types Full-time Permanent Pay 210 853 55 - 2 517 502 05 per year Application Question s What s your Notice Period Experience Kafka Developer 6 years Required java Kafka Developer 6 years Required Location Pune Maharashtra Required Work Location In person