Description

You will design and optimize data pipelines to support fraud research and analytics. You will query and correlate structured and unstructured data across multiple platforms to analyze fraud events.

This role is hybrid.

Responsibilities

• Design and optimize data pipelines for fraud research and analytics use cases.
• Research and analyze fraud events by correlating data across multiple platforms.
• Write complex, high-performance SQL queries to extract, transform, and analyze large datasets.
• Utilize Oracle databases to support enterprise-scale fraud analytics.
• Manage semi-structured and unstructured fraud-related data using MongoDB.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong proficiency in SQL for complex queries and data analysis.
• Experience with MongoDB and NoSQL technologies.
• Proficiency with Oracle databases.
• Ability to handle structured and unstructured data at scale.

Preferred Skills

• Experience with fraud detection or analytics domains.

Key Skills

Education

Any Gradute