Data Engineer

1 week ago

Gurgaon, Haryana, India WTW Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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).
  • 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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