About The Role

We are seeking a skilled Data Engineer with Capital Markets experience to design, build, and optimize scalable data pipelines supporting business intelligence, analytics, and AI initiatives.

The ideal candidate will have strong expertise in data engineering, data integration, data modeling, cloud data platforms, Fraud Screening, and Financial Crimes .

Responsibilities

Design, develop, and maintain robust ETL/ELT data pipelines.
Build and optimize large-scale data warehouses and data lakes.
Develop data models supporting reporting, analytics, and operational requirements.
Ensure data quality, integrity, governance, and security across platforms.
Work with structured and unstructured data from multiple sources.
Collaborate with business analysts, data scientists, and application teams.
Optimize SQL queries and data processing for performance and scalability.
Implement cloud-based data solutions using AWS, Azure, or GCP.
Automate data workflows, monitoring, and data quality processes using modern data engineering tools.
Support AI/ML initiatives by providing reliable and high-quality datasets.
Work with teams supporting Capital Markets, Fraud Screening, and Financial Crimes use cases.