Job Description

202505104 Gurugram, Haryana, India Bevorzugt

Description

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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

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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