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