Sr Full Stack Engineer–Market Data Platforms (Python / gRPC / MongoDB)

We are looking for aSenior Full Stack Engineerto build and supportmarket data platformswithin a Global Markets environment. This role focuses on developingend-to-end solutions across UI,APIsanddata layers, supporting criticalmarket data analytics,distributionandusage workflows.

The ideal candidate will have strong experience infull-stack development, exposure tomarket datasystemsandthe ability tooperateinhigh-performance, production-critical environments.

Key Responsibilities

• Build and enhancemarket data platformssupporting analytics, distributionandconsumption use cases
• DevelopAPIs and servicesusing modern frameworks (includinggRPC) for efficient data access
• Work withlarge-scale data stores(e.g., MongoDB, HBase) to manage structured and semi-structured market data
• Troubleshoot and resolveproduction issues, performing root cause analysis (RCA) and driving fixes end-to-end
• Translateambiguous business requirementsinto practical, scalable technical solutions
• Collaborate withtrading,analyticsanddata teamsto deliver robust and aligned solutions

Must-Have Skills

• ProficiencyinPython or polyglot backend development
• Experience building and consumingAPIs (REST /gRPC)
• Hands-on experience withNoSQL databasessuch as MongoDB, HBase, or similar
• Strong debugging and problem-solving skills inproduction environments
• Proven ability toown issues end-to-end, including RCA and resolution
• Experience working withlarge datasets and data-intensive applications

Domain Experience (Preferred)

• Strong knowledge of:
• Market data concepts and usage
• Trade lifecycle and data flows
• Risk and pricing dependencies on market data
• Experience working withenterprise trading and market data platforms
• Understanding ofregulatory and compliance considerationsin banking environments

Technical & Data Stack (Preferred)

• Experience with:
• MongoDB, HBase, or similar distributed data stores
• gRPC-based servicesfor high-performance communication
• Familiarity with:
• Integration withanalytics and downstream systems
• Exposure topolyglot architecturesand distributed systems

Good-to-Have

• Experience withmarket data platforms or vendor data systems
• Exposure todata streaming or real-time processing frameworks
• Familiarity withcloud or distributed infrastructure environments
• Prior experience inglobal banking or financial services environments

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