Database Engineer (MongoDB) | Bdjobs

• The ideal candidate will be responsible for designing, maintaining, and optimizing our MongoDB database infrastructure. Additionally, the candidate will provide support for Microsoft SQL Server and Redis to ensure overall system scalability

Job Description / Responsibility

MongoDB Database Development & Optimization:

• Design, develop, and maintain scalable MongoDB data models and collections

• Write and optimize complex MongoDB queries and aggregation pipelines

• Create and manage indexes to ensure high-performance data retrieval

• Design schema strategies (embedding vs referencing) based on access patterns

• Implement and manage sharding, replication, and partitioning strategies in MongoDB clusters

Performance Monitoring & Tuning:

• Monitor MongoDB cluster performance and identify bottlenecks

• Analyze and optimize query performance using profiling tools and execution stats

• Perform regular database health checks, tuning, and maintenance tasks

• Optimize read/write throughput and latency for high-traffic applications

• Implement caching strategies (e.g., Redis) to enhance performance

Data Management & Integrity:

• Ensure data integrity, consistency, and availability in MongoDB environments

• Design and implement backup and recovery strategies (e.g., snapshots, point-in-time recovery)

• Perform data migrations and transformations within MongoDB or from other databases

• Maintain data consistency across replica sets and distributed clusters

Collaboration & Support:

• Collaborate with development teams on MongoDB schema design and data access patterns

• Provide support for application development, debugging, and performance issues

• Review code with a focus on MongoDB query efficiency and best practices

• Assist in incident resolution, troubleshooting, and root cause analysis

Documentation & Best Practices:

• Maintain clear and comprehensive MongoDB documentation

• Define and enforce MongoDB best practices and standards

• Create technical design documents for data architecture

• Document schemas, relationships, indexing strategies, and data flow

Additional Advantage:

• Experience or working knowledge of Microsoft SQL Server and Redis will be considered a strong plus