Senior Java Developer

Role Overview: You will be joining as a Senior Java Developer at the team to lead the development of custom connectors for integrating source systems with a Kafka cluster. Your expertise in Java programming, data integration, and Kafka architecture will be essential for this role. You will have the responsibility of managing a small team of developers and collaborating effectively with Kafka administrators. This position will involve hands-on development, leadership responsibilities, and direct engagement with client systems and data pipelines. Key Responsibilities: - Design, develop, and maintain Java-based connectors for integrating diverse source systems with Kafka clusters. - Incorporate business logic, data validation, and transformation rules within the connector code. - Work closely with client teams to understand source systems, data formats, and integration requirements. - Guide and mentor a team of developers, review code, and ensure adherence to best practices. - Collaborate with Kafka admins to optimize connector deployment, resolve operational issues, and ensure high availability. - Develop monitoring solutions to track data flow and resolve issues in real-time. - Create comprehensive technical documentation for the custom connectors, including configuration guides and troubleshooting procedures. - Evaluate and implement improvements in performance, scalability, and reliability of the connectors and associated data pipelines. Qualification Required: - Strong proficiency in Java, including multi-threading, performance tuning, and memory management. - Hands-on experience with Confluent Kafka and Kafka Connect. - Familiarity with JSON, Avro, or Protobuf data formats. - Experience in integrating data from various sources such as relational databases, APIs, and flat files. - Understanding of data exchange protocols like REST, SOAP, and FTP. - Knowledge of event-driven architecture and distributed systems. - Ability to lead a small team of developers, delegate tasks, and manage project timelines. - Strong mentoring and communication skills to guide team members and collaborate with non-technical stakeholders. - Proven ability to troubleshoot complex data and system integration issues. - Analytical mindset for designing scalable, reliable, and efficient data pipelines. - Experience with CI/CD pipelines, Git, and build tools like Maven and Gradle. - Familiarity with containerization (Docker) and cloud environments (AWS, Azure, or GCP) is a plus.,