Description

You will build and maintain high-volume data pipelines for capital markets, focusing on trade lifecycle processing and settlement systems.

This role is remote.

Responsibilities

• Design and implement ETL/ELT pipelines using .NET application code.
• Develop event-driven processing and message queue integrations with RabbitMQ.
• Deploy and manage containerized solutions in Kubernetes (EKS) and AWS cloud environments.
• Optimize SQL Server databases, including performance tuning, indexing, and stored procedures.
• Ensure accurate trade lifecycle execution, clearing, settlement, and reconciliation.

Required Skills

• 10+ years of Data Engineering experience within Capital Markets.
• Strong .NET application development skills.
• Experience with IBM MQ, RabbitMQ, or Kafka.
• Proficiency in AWS services: S3, EKS, Kubernetes, Docker, RDS.
• Advanced SQL Server expertise (tuning, query optimization).
• Knowledge of DTCC platforms (RTTM, Settlement Web).
• Understanding of ISO 15022 financial messaging standards.
• Experience with REST APIs and ingestion frameworks.

Preferred Skills

• Experience with Unified Trade Record (UTR) schema design.
• Knowledge of FIX or FxML message processing.

Key Skills

Education

Bachelor's degree