Hybrid Data Modeler Focusing on SAP Environments and Data Quality (Ontario)

Hybrid Data Modeler Focusing on SAP Environments and Data Quality (Ontario)

05 Aug
|
CPUS Engineering Staffing Solutions
|
Ontario

05 Aug

CPUS Engineering Staffing Solutions

Ontario

Shape the future of data modeling as a Data Modeler. This hybrid role emphasizes SAP data structures, data quality, and thorough documentation to support organizational needs.

As a key contributor, you will analyze existing data sources and design comprehensive data models for S/4HANA environments. Your expertise will guide data mapping, transformation, and cleansing, ensuring the integrity of the data throughout the process. Collaboration with both business and technical teams is vital to meet stringent data quality standards and best practices.

Key Responsibilities:
• Analyze existing data structures and sources
• Design conceptual, logical, and physical data models
• Develop data mapping specifications and quality checks




• Automate data processes using Python, SQL, etc.
• Maintain data dictionaries and mapping documents

Requirements:
• Bachelor’s degree in relevant field
• 5+ years of data modeling experience, SAP preferred
• Strong knowledge of data governance and quality
• Proficiency in data modeling tools required
• Excellent analytical skills and communication

Leverage your technical skills to enhance data quality and governance in a agile hybrid work environment.
#J-18808-Ljbffr

📌 Hybrid Data Modeler Focusing on SAP Environments and Data Quality (Ontario)
🏢 CPUS Engineering Staffing Solutions
📍 Ontario

Reply to this offer

Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.

Subscribe to this job alert:

Get the latest job offers by email for: hybrid data modeler focusing on sap environments and data quality (ontario) / ontario

Subscribe to this job alert:

Get the latest job offers by email for: hybrid data modeler focusing on sap environments and data quality (ontario) / ontario