Java Backend Developer

Job Description Role: MongoDB Expert and Lead Developer with Kafka and Java Microservices • Primary Skills: MongoDB (Expert) Java Microservices Kaka • Proficiency in MongoDB, understanding of NoSQL databases, familiarity with database design and architecture principles. • Work on MongoDB for framework and other data analytics data ingest from different sources system. • Query Optimization: Analyze and optimize MongoDB queries for performance efficiency. • Index Management: Create and manage indexes to improve query performance. • Collaboration with Developers: Work closely with software developers to integrate MongoDB effectively within applications and to understand and fulfill data storage requirements. • Code Reviews: Review and provide feedback on database-related code to ensure best practices and efficiency. • Microservices Architecture Design: Design robust, scalable, and maintainable microservices architectures, ensuring they align with business needs and technical requirements. • Technology Stack Selection: Choose appropriate technologies, frameworks, and tools for building and managing microservices, focusing on Java-based solutions. • Integration: Design and implement integration strategies for microservices to communicate effectively with each other and with external systems. • Sound knowledge in Java Microservices and good hands-on experience for data and analytical platform • Strong experience in Kafka for data streaming process and data ingestion to the data platform • Building and setting up the Kafka streaming framework and enabling the data ingestion process to manage the data onboarding seamlessly. • Extensive experience in database query tuning, performance tuning, and troubleshooting application issues on OLTP/OLAP systems. • RDBMS Architecture, T-SQL query and Query Optimization knowledge and work experience • Provide support to team members and helping them to understand the projects and requirements and guiding them to create the optimized solution of it. • team player and proven track record of working in various team sizes performing cross-functional roles. • Ensure that their code has high quality by applying techniques like TDD and BDD and meets non-functional requirements like security. • Collaboration with Development Teams: Work closely with software developers to integrate Kafka into applications and ensure they are using best practices for event streaming. • Issue Resolution: Troubleshoot and resolve issues related to Kafka clusters, data pipelines, and integrations. • Performance Tuning: Optimize Kafka settings, such as topic partitioning, replication factors, and log retention policies, for improved performance. • Monitoring and Alerts: Implement monitoring solutions to track the health and performance of Kafka clusters, using tools like Prometheus, Grafana, or Confluent Control Center.

Created: 2024-11-05