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Data Engineer

WTW Global Delivery And Solutions

5 - 8 years

25 - 30 Lacs

Gurugram

Posted:14 hours ago| Platform:

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Skills Required

Performance tuning Automation Networking Project management Consulting Flex MongoDB Troubleshooting Analytics Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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). 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

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

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Data Engineer