MONGO DB, NO SQL

Must-Have :

Schema Modeling: Design scalable and flexible MongoDB schema tailored to application data structures (document model), ensuring efficient data storage and retrieval.

Query Optimization: Develop and optimize complex queries, aggregation pipelines, and indexing strategies to maintain high performance with large datasets.

Application Integration: Collaborate with teams to integrate MongoDB with application services and APIs.

Performance Tuning: Monitor database performance, profiling queries and implementing caching techniques to reduce latency

Good to have Knowledge on: Database Administration: Maintain and configure MongoDB instances, including setting up replica sets for high availability, managing security (roles/permissions), and implementing backup/disaster recovery procedures.

MongoDB Expertise: Hands-on experience with MongoDB Atlas, CRUD operations, indexing, and aggregation framework.

NoSQL Best Practices: Knowledge of document-oriented design principles and understanding how to structure data for performance.

Backend Familiarity: Experience with REST APIs and Exposing Transactional Data inside Mongo DB as a REST service.

Good-to-Have :

Good to have Infrastructure knowledge on: Understanding of database sharding and partitioning for scaling