Must-Have :

Schema Modeling: Design scalable and adaptable MongoDB schema tailored to application data structures (document model), ensuring effective 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 :

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

📌 Mongo Db, No Sql Bengaluru (India)
🏢 Tata Consultancy Services
📍 India