Data Engineer (MongoDB)
Data Engineer (MongoDB)
Posted on :
26-07-2025
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1 Vacancy
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Job Description
Description
Qualifications
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:
Bachelors or masters 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
Employment Type
Full-Time
Key Skills
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