Data Engineer
I-Flow
Job Title: Data Engineer
Location: New York-Need to work from office 3 days a week
Duration:6 Months
Experience Required: 8-10 ROLE_DESCRIPTION -
Need candidates with Data Engineers with Capital Markets, Fraud Screening, and Financial Crimes experience
We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines that support business intelligence, analytics, and AI initiatives. The ideal candidate will have strong expertise in data integration, data modeling, and cloud-based data platforms.
Design, develop, and maintain robust ETL/ELT data pipelines.
Build and optimize large-scale data warehouses and data lakes.
Develop data models to support reporting, analytics, and operational needs.
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 platforms such as AWS, Azure, or GCP.
Automate data workflows and monitoring using modern data engineering tools.
Support AI/ML initiatives by providing reliable and high-quality datasets.
Skills: Digital : Python~Digital : Snowflake
Location: New York-Need to work from office 3 days a week
Duration:6 Months
Experience Required: 8-10 ROLE_DESCRIPTION -
Need candidates with Data Engineers with Capital Markets, Fraud Screening, and Financial Crimes experience
We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines that support business intelligence, analytics, and AI initiatives. The ideal candidate will have strong expertise in data integration, data modeling, and cloud-based data platforms.
Design, develop, and maintain robust ETL/ELT data pipelines.
Build and optimize large-scale data warehouses and data lakes.
Develop data models to support reporting, analytics, and operational needs.
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 platforms such as AWS, Azure, or GCP.
Automate data workflows and monitoring using modern data engineering tools.
Support AI/ML initiatives by providing reliable and high-quality datasets.
Skills: Digital : Python~Digital : Snowflake
Vacancy posted 22 hours ago
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