Data Modeler

*Short Term Project for 6 Months

The ideal candidate will have deep expertise in dimensional modeling, data warehousing, and a solid understanding of BI reporting and analytics needs, particularly in continuous manufacturing processes.

Key Responsibilities:

1. Data Modeling and Architecture

• Design and implement dimensional data models aligned with the AI Manara roadmap.
• Develop and maintain logical and physical data models adhering to best practices and BI requirements.
• Collaborate with IT/OT teams and Data Engineers to ensure optimal data design and performance.

2. Collaboration with Business Stakeholders

• Partner with stakeholders to understand reporting needs and translate them into effective data structures.
• Ensure data models provide accuracy, consistency, and optimal performance for BI applications.

3. Data Engineering Support

• Work with the Data Engineering team to integrate data from multiple sources into the data warehouse.
• Ensure data is cleansed, transformed, and loaded into dimensional models for BI reporting.

4. Optimization and Quality Assurance

• Conduct regular data model tuning to enhance processing and query performance.
• Enforce standards for data modeling, including naming conventions, to maintain model integrity.

5. Documentation and Support

• Maintain comprehensive documentation of data models, definitions, and data flows.
• Guide and support BI developers and analysts on data structure and model utilization.

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience:

• 2–5 years of experience in data modeling, with a strong focus on dimensional modeling for BI.

Technical Skills:

• Proficiency in data modeling tools (e.g., ERwin, PowerDesigner).
• Strong SQL skills and experience with data warehousing technologies.
• Familiarity with BI tools (e.g., PowerBI).
• Knowledge of the Azure Data Stack (e.g., ADLS, Azure Synapse, Azure Databricks).
• Familiarity with ERP processes, particularly the SAP stack.
• Knowledge of OT Data Historians (e.g., Iba) and OT systems.
• Experience with SAP BW or SAP Datasphere.
• Understanding of ETL processes, tools, and data integration concepts.
• Familiarity with Agile methodologies and the Atlassian Suite (JIRA, Confluence).

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication skills for collaboration with technical and business stakeholders.
• Detail-oriented with a commitment to data quality.