Senior Data Engineer
RIT Solutions, Inc.
We are seeking a Senior Data Engineer with extensive Capital Markets experience to support the design, development, and implementation of trade lifecycle data solutions. The consultant will be responsible for building cloud-native data pipelines, onboarding complex financial data sources, and supporting a unified trade architecture that enables trade processing, reconciliation, settlement, and exception management functions.
This role requires strong technical expertise combined with deep knowledge of post-trade processing, DTCC platforms, and financial messaging standards.
Looking for candidates in the NY/NJ area or the very least on the East Coast.
- 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.
- 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.
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