• Strong expertise in MongoDB, including query profiling, indexing, sharding, replication, and schema design.
• Hands‑on experience in optimizing large-scale, high-throughput NoSQL databases.
• Solid understanding of performance engineering concepts, including CPU/memory utilization, I/O bottlenecks, and concurrency patterns.
• Experience working with large datasets, distributed systems, and real-time data workflows.
• Familiarity with Trading or Financial Services environments (preferred but not mandatory).
• Ability to collaborate effectively with cross-functional teams in a fast-paced Agile environment.

Description:

Analyze existing MongoDB queries used across the Trading group
Identify optimization opportunities for performance, throughput, and query execution time
Support functional and performance testing for production readiness
Work hands on with complex datasets and high-volume workloads

MongoDB, ETL, SQL

• Strong expertise in MongoDB, including query profiling, indexing, sharding, replication, and schema design.
• Hands‑on experience in optimizing large-scale, high-throughput NoSQL databases.
• Solid understanding of performance engineering concepts, including CPU/memory utilization, I/O bottlenecks, and concurrency patterns.
• Experience working with large datasets, distributed systems, and real-time data workflows.
• Familiarity with Trading or Financial Services environments (preferred but not mandatory).
• Ability to collaborate effectively with cross-functional teams in a fast-paced Agile environment.

Description:

Analyze existing MongoDB queries used across the Trading group
Identify optimization opportunities for performance, throughput, and query execution time
Support functional and performance testing for production readiness
Work hands on with complex datasets and high-volume workloads

MongoDB, ETL, SQL