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Metro locations and a common Data Engineer title increase applicants despite seniority and niche capital markets skills.
Deep capital markets, DTCC, and ISO15022 expertise required, limiting cross-industry transferability.
Mandatory 10+ years plus specific DTCC, ISO15022, and AWS/SQL Server skills create strict screening filters.
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Design, build, and maintain scalable cloud-native data pipelines and ETL/ELT workflows for high-volume trade lifecycle data in financial services.
Onboard, integrate, and model trade lifecycle data sources including DTCC RTTM and Settlement Web into Unified Trade Record schema, ensuring data quality and governance.
Optimize SQL Server performance and work with AWS cloud data services to support trade exception management and complex data troubleshooting.
10+ years experience in data engineering with strong capital markets domain expertise, specifically trade lifecycle.
Proficiency in ETL/ELT frameworks, SQL Server performance tuning, AWS cloud-native services, and data modeling for trade data.
Hands-on experience with DTCC data sources (RTTM, Settlement Web), messaging systems (IBM MQ, Kafka), REST APIs and financial message standards (ISO 15022).
Location: Bangalore/Pune/Hyderabad; Notice Period: 0-30 days.
Expertise in capital markets trade lifecycle, including experience with Unified Trade Record schema and trade exceptions management.
Technical ability to build and optimize scalable cloud-native data pipelines using AWS and messaging frameworks in a production financial environment.
Experience collaborating closely with business stakeholders to align technical data solutions with operational trade and settlement processes.