Description

You will build and maintain data pipelines within AWS environments.

Responsibilities

• Develop data processing workflows using Python and SQL.
• Manage data architecture and storage on AWS.
• Implement data solutions tailored for banking and finance requirements.
• Ensure data integrity and performance across all pipelines.

Required Skills

• 7+ years of professional experience in data engineering.
• Proficiency in Python for data manipulation and automation.
• Advanced SQL skills for complex data querying and transformation.
• Hands-on experience with AWS cloud services.
• Direct experience working within the Banking & Finance sector.
• Any Graduate degree.

Key Skills

Education

Any Graduate