Description

Required Skills & Experience:

10+ years of Data Engineering experience within Capital Markets environments.

Strong Experience developing ETL pipelines using .NET application code and deploying solutions into containerized Kubernetes environments.

Strong experience writing .NET applications utilizing RabbitMQ libraries for message queue integration and event-driven processing.

Strong understanding of the complete trade lifecycle, including execution, clearing, settlement, and reconciliation.

Extensive experience designing and implementing ETL/ELT data pipelines.

Strong expertise in data modeling, schema design, and transaction data architecture.

Hands-on experience with DTCC platforms, specifically RTTM and Settlement Web.

Strong knowledge of ISO 15022 financial messaging standards.

Experience developing ingestion frameworks utilizing MQ technologies (IBM MQ, RabbitMQ, Kafka, or similar) and REST APIs.

Advanced SQL Server expertise including performance tuning, indexing, query optimization, and stored procedure development.

Strong experience with AWS cloud-native services, including S3, EKS, Kubernetes, Docker, and RDS.

Excellent troubleshooting, analytical, and problem-solving capabilities.

Preferred Experience:

Unified Trade Record (UTR) schema design and implementation.

Trade Exceptions platform development and support.

Real-time or near real-time data processing architectures.

Data governance, lineage, cataloging, and observability tooling.

Regulatory reporting and compliance data requirements within Capital Markets.

FIX protocol message processing.

FxML message processing.

Previous consulting or client-facing delivery experience

Key Skills

Education

Bachelor's degree