You will apply the skills and aptitude of an intermediate-level Data Engineer to build and maintain the Enterprise Data Warehouse for Reporting, Analytics, Agentic AI and Strategic AI use cases.

Essential Functions:

• Use experience in and knowledge of Google Cloud Storage, BigQuery, Airflow Composer, Cloud Data Fusion, Cloud Functions, BigQuery Data Transfer Service, Python, SQL and GitHub to build, modify and maintain Enterprise Data Warehouse (EDW)
• Collaborate as a member of a high-performing Agile data engineering scrum team
• Collaborate with the EDW development team, the larger Data & Integrations engineering team, the Production Data Support team and internal business stakeholders to design and develop new functionality, and to troubleshoot then resolve reported problems
• Use Google Gemini or Claude AI to generate detailed system documentation for new and modified data pipelines