Description

You will build and maintain data pipelines within AWS environments, ensuring data integrity and performance. You will develop data processing workflows using Python and SQL, manage data architecture and storage, and implement solutions tailored for banking and finance requirements.

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