Description

You will own the implementation of the Fraud Analytics roadmap and drive the organization’s data engineering strategy.

Responsibilities

• Lead the design, development, and deployment of scalable data pipelines for large-scale data integration.
• Implement Big Data solutions specifically for Fraud Analytics initiatives.
• Collaborate with data scientists and analysts to define data requirements and deliver solutions.
• Establish and promote data engineering best practices across the organization.
• Develop AI/ML tools and automation solutions to enhance business operations.

Required Skills

• 15+ years of experience in Data Science or Big Data Engineering.
• 10+ years experience designing and maintaining scalable data pipelines.
• Strong programming skills in Python and SQL.
• Expertise in Data Modeling and ETL/ELT Design.
• Experience with cloud-based data platforms and infrastructure.
• Hands-on experience with Databricks on Azure.
• Excellent analytical and problem-solving abilities.

Key Skills

Education

Any Graduate