Description

You will design, develop, and optimize data pipelines to support fraud research and analytics use cases.

This role is on-site.

Responsibilities

• Design and build data pipelines for fraud analytics.
• Research fraud events by correlating structured and unstructured data.
• Write complex SQL queries to extract and transform large datasets.
• Support enterprise-scale fraud analytics using Oracle databases.
• Manage semi-structured and unstructured data with MongoDB.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong proficiency in SQL.
• Experience with Oracle databases.
• Proficiency with MongoDB and NoSQL.
• Ability to handle large-scale data analytics.

Preferred Skills

• Bachelor's degree in a relevant field or equivalent experience.

Key Skills

Education

Any Gradute