Description

Build and maintain scalable data pipelines to extract, transform, and load financial data into a data lake.

This role is on-site.

Responsibilities

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

Required Skills

• 3-6 years of experience in data engineering or related roles.
• Strong background in ETL, SQL, and data pipeline development.
• Direct experience with Oracle EBS (E-Business Suite), specifically Finance and Supply Chain modules.
• Proficiency in Python for data processing logic and pipeline development.
• Hands-on experience with AWS Big Data services including Glue, Athena, Redshift, Lake Formation, and Lambda.
• Experience using AWS CDK for infrastructure.
• Deep understanding of database concepts, including schema definition and relational table structures.
• Experience working with Agile PLM data.

Key Skills

Education

Any Graduate