Key Responsibilities

• Work on MongoDB for framework and other data analytics data ingest from different sources systems.
• Analyze and optimize MongoDB queries for performance efficiency.
• Design robust, scalable, and maintainable microservices architectures, ensuring they align with business needs and technical requirements.
• Choose appropriate technologies, frameworks, and tools for building and managing microservices, focusing on Java-based solutions.
• Building and setting up the Kafka streaming framework and enabling the data ingestion process to manage the data onboarding seamlessly.
• Optimize Kafka settings, such as topic partitioning, replication factors, and log retention policies, for improved performance.
• Implement monitoring solutions to track the health and performance of Kafka clusters, using tools like Prometheus, Grafana, or Confluent Control Center.

Required Qualifications

• Proficiency in MongoDB, understanding of NoSQL databases, familiarity with database design and architecture principles.
• Sound knowledge of Java Microservices and good hands-on experience with data and analytical platforms.
• Strong experience in Kafka for data streaming process and data ingestion to the data platform.
• 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.

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