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Senior, niche capital-markets skillset reduces pool despite metro locations.
Domain-specific capital markets and DTCC/ISO15022 expertise limits cross-industry transferability.
Explicit 10-12 years and specific DTCC/ISO15022/AWS/SQL Server requirements make filters high.
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Design, build, and maintain scalable cloud-native ETL/ELT data pipelines for trade lifecycle data processing in capital markets.
Integrate and manage DTCC data sources (RTTM, Settlement Web) into Unified Trade Record schemas, ensuring data quality and alignment with business processes.
Optimize SQL Server database performance and leverage AWS data services to support high-volume financial datasets and trade exceptions management.
10+ years of experience in data engineering with a strong focus on capital markets and trade lifecycle processes.
Hands-on experience with DTCC data sources (RTTM, Settlement Web) and ISO 15022 financial message formats.
Advanced SQL Server skills including performance tuning and indexing, and proficiency with AWS cloud-native data platforms (S3, EKS, RDS).
Notice Period: 0 - 30 days.
Experienced in building scalable ETL/ELT workflows and data models specifically for capital markets trade and transaction data.
Comfortable working with messaging systems (e.g., IBM MQ, Kafka) and API-based ingestion frameworks in financial services domain.
Able to collaborate closely with business stakeholders in operations and settlements to align data architecture with trade lifecycle business processes.