Data Engineer (MongoDB)

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.

(Nice to have) Support data ingestion and automation tasks using Python.

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.

Demonstrated experience with self-hosted MongoDB, including cluster setup, maintenance, and troubleshooting.

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).

(Nice to have) Experience in Python for backend integration, data processing, or scripting