Bangalore, Karnataka, India
Information Technology
Full-Time
WTW
Overview
Description
Job Responsibility:
Qualifications
Qualifications:
Bachelor’s or master’s in computer science, Engineering, or related quantitative discipline.
Experience
Technical Competencies
Job Responsibility:
- Design, develop, and optimize MongoDB data models for various business and analytics use cases.
- Implement and maintain efficient MongoDB CRUD operations, indexes, and schema evolution strategies.
- Experience with self-hosted MongoDB deployments, including installation, configuration, scaling, backup/restore, and monitoring.
- Build and maintain reporting and analytics pipelines using MongoDB Reporting suite.
- Develop, monitor, and tune MongoDB (both self-hosted and cloud-managed) deployments for scalability, reliability, and security.
- Collaborate with engineering and product teams to translate requirements into MongoDB-backed solutions.
- Support integration with Azure cloud services (e.g., Azure Cosmos DB for MongoDB, Azure Functions, Blob Storage).
- Maintain documentation and contribute to database standards and best practices.
Qualifications
Qualifications:
Bachelor’s or master’s in computer science, Engineering, or related quantitative discipline.
Experience
- 5 to 8 years of hands-on experience in data engineering or backend development with MongoDB.
Technical Competencies
- Deep hands-on experience with MongoDB data modelling, schema design, and normalization/denormalization strategies.
- Strong proficiency in MongoDB development: aggregation pipelines, CRUD, performance tuning, and index management.
- Experience in building reporting and analytics using MongoDB Reporting suite.
- Experience with self-hosted MongoDB deployments (e.g., sharding, replication, monitoring, security configuration).
- Working knowledge of Azure cloud services (Azure Cosmos DB, VMs, App Service, networking for secure deployments).
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