Description

You will build and maintain data pipelines to extract, transform, and load financial data into a scalable data lake for business intelligence and compliance stakeholders.

Responsibilities

• Extract and transform complex finance and supply chain data from Oracle EBS, Agile PLM, and Coupa.
• Define database architecture for a scalable data lake to support financial reporting and cost tracking.
• Develop repeatable pipelines using AWS native technologies.
• Design operationally excellent data processes that balance infrastructure cost with system complexity.

Required Skills

• 5+ years of related data engineering experience.
• Proficiency in Python for data processing logic and pipeline development.
• Strong knowledge of SQL, relational table structures, and schema definition.
• Experience with AWS Big Data services including Glue, Athena, Redshift, Lake Formation, and Lambda.
• Hands-on experience with AWS CDK and Infrastructure as Code.
• Working knowledge of Oracle EBS and Agile PLM data structures.
• Experience with NoSQL data sources at scale, including partitioning and sharding.
• Ability to work with any graduate level education.

Preferred Skills

• Understanding of financial reporting requirements within Oracle EBS.

Key Skills

Education

Any Graduate