Data Engineer

Build and enhance Information Model objects (e.g., Purchase Orders, Invoices, Vendor data) based on functional design specifications.
Perform technical and functional validation of Information Model objects to ensure data integrity and accuracy.
Troubleshoot issues with code and implement effective fixes.
Support daily data loads from SAP and non-SAP systems into the Information Model.
Collaborate with the API ingestion team to streamline data processes and integrations.
Engage in data modeling, focusing on data structures and common algorithms to understand end-to-end data flow from ingestion to exploitation.

Required Qualifications:
Minimum of 5 years of experience in data engineering, software engineering, or data analysis/science, with significant experience in developing business data products and models.
Strong expertise in SQL for data analytics and reporting.
Proficient in data modeling and understanding data flows, from ingestion through to exploitation.
Hands-on experience with Azure Databricks and Azure Data Lake Storage.
Experience with Azure Data Factory for orchestration of data pipelines.
Familiarity with the Azure Data Engineering Platform and how it operates.
Preferred Qualifications:
Experience with SAP, particularly in Product Information Management (PIM) systems (nice to have but can be acquired on the job).
Knowledge of Python for data analytics and development (advantageous but not mandatory).

Skills:
Excellent problem-solving skills and attention to detail.
Strong communication skills to collaborate effectively with cross-functional teams.
Ability to work independently and manage multiple tasks in a fast-paced environment.