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Metro-based popular data-engineer title balanced by seniority and niche capital-markets specialization.
Requires deep capital-markets trade lifecycle and DTCC/ISO15022 expertise, limiting cross-industry transferability.
Explicit 10-12 years plus mandatory domain and tech specifics (DTCC, ISO15022, AWS, SQL Server).
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Design, build, and maintain scalable cloud-native data pipelines focused on trade lifecycle processing.
Develop and optimize ETL/ELT workflows for high-volume financial datasets, including integration of DTCC data sources into Unified Trade Record schemas.
Collaborate with business stakeholders for data alignment, optimize SQL Server databases, and ensure data quality, governance, and observability using AWS cloud-native services.
10+ years of experience in data engineering with a strong focus on capital markets and trade lifecycle knowledge.
Proficiency in ETL/ELT frameworks, data modeling for trade and transaction data, and hands-on experience with DTCC data sources (RTTM, Settlement Web).
Advanced SQL Server skills including performance tuning and indexing; experience with AWS cloud-native platforms (S3, EKS, RDS).
Work Experience Required: 10+ years; Notice Period: 0-30 days; Location: Bangalore, Pune, or Hyderabad.
Deep domain expertise in capital markets trade lifecycle execution, clearing, settlement, and reconciliation.
Experience with unified data models (Unified Trade Record) and trade exceptions management, plus familiarity with financial message standards like ISO 15022.
Proven ability to lead complex data engineering initiatives involving cloud-native architectures, advanced SQL optimization, and cross-functional stakeholder collaboration.