Position Overview
- Key Responsibilities
- Design, develop, and normalize logical data models to Third Normal Form (3NF).
- Create and maintain detailed conceptual, logical, and physical data models using industry-standard methodologies such as IDEF or equivalent frameworks.
- Develop, manage, and govern enterprise data models and associated metadata.
- Collaborate with architects, business analysts, and technical teams to define and document semantic data models.
- Translate logical data models and semantic models into optimized physical database designs.
- Enhance existing enterprise data models to support evolving business requirements and key business entities.
- Evaluate and optimize data access paths across multiple platforms and technologies.
- Provide recommendations for improving performance, scalability, and data integration across heterogeneous environments.
- Support data architecture initiatives and ensure alignment with enterprise architecture standards, design patterns, and best practices.
- Participate in Agile or Waterfall project delivery methodologies based on project requirements.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or a related field.
- 3-4+ years of experience in data warehouse and enterprise data modeling.
- Robust expertise in relational database design and normalization techniques.
- Hands-on experience with dimensional data modeling for analytics and reporting environments.
- Deep understanding of business process analysis and business information modeling.
- Strong knowledge of data modeling methodologies, standards, and best practices.
- Experience conducting stakeholder workshops and facilitating requirements gathering sessions.
- Knowledge of enterprise architecture principles, design patterns, and implementation approaches.
- Ability to work effectively with cross-functional business and tec
📌 Data Modeler (India)
🏢 Matrix International Financial Services
📍 India
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