Job highlights

- Familiarity with Trading or Financial Services environments ( preferred but not mandatory )
- Hands on experience in optimizing large-scale,high-throughput NoSQL databases
- Experience working with large datasets,distributed systems,and real-time data workflows
- 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

Requirements

- 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 setting.

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

📌 Mongo DB Professional (Mumbai)
🏢 Logic planet
📍 Mumbai