Job Title / Role : Data Modeler role
Mandatory required : DBA / Erwin Data Modeler, Implement 3NF schema design,
JD and responsibilities of DBA / Erwin Data Modeler :
- 8+ Years of Work Experience in Data Modeling
- Design and create logical and physical data models : used Erwin to visually represent the entities, attributes, relationships, and constraints within a database system. Both logical models (focusing on business concepts) and physical models (considering the specific database platform) might be required.
- Implement 3NF schema design.
- Analyze existing data models and suggest improvements : evaluate existing data models for accuracy, efficiency, and adherence to data governance standards. suggest improvements to optimize the model's structure and functionality.
- Data Management :
- Develop and maintain data dictionaries : The data modeler will ensure the data dictionary is accurate and up-to-date, reflecting the current state of the data model.
- Develop and maintain data quality rules : defining rules to ensure data accuracy, consistency, and completeness
- Database Design and Implementation :
- Design and implement database objects : creating tables, views, stored procedures, and triggers within the dbms based on the data model specifications.
- Develop and maintain database standards and procedures : contribute to establishing data management standards and procedures within the organization to ensure consistent data practices.
- Communication and Collaboration :
- Work with business stakeholders to understand data requirements : maintain clear communication with business users to understand their information needs and translate them into the technical data model.
- Collaborate with IT teams to implement the data model : work with database administrators and developers to ensure the model is successfully implemented within the chosen database platform.
- Additional Skills :
- Proficiency in SQL (Structured Query Language) for interacting with databases.
- Proficiency in Nosql DynamoDB .
- Understanding of data governance principles and best practices.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.