Data Engineer – Capital Markets

Job Description

We are seeking a skilledData 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 indata 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 supportingCapital Markets, Fraud Screening, and Financial Crimes use cases.

Required Skills

• 8–10 years of Data Engineering experience.

• StrongCapital Markets domain experience.

• Experience withFraud Screening and Financial Crimes.

• StrongPython skills.

• StrongSnowflake experience.

• Hands-on experience with ETL/ELT pipelines and data integration.

• Strong SQL and data modeling experience.

• Experience with cloud platforms such as AWS, Azure, or GCP.

• Experience with data warehouses and data lakes.

• Strong understanding of data quality, governance, and security.

• Willingness to workonsite in New York, NY.