Data Modeler
2 weeks ago
**Short Term Project for 6 Months**
**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.
**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.
**Requirements**:
**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**.
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