Data Modeler

Data Modeler

San Antonio / TX (Onsite)

Implementation partner: HCL

Experience level required (Years) 5 To 7 Years 

Mandatory required skills CA Erwin Data Modeler [Primary], ANSI SQL,ETL Knowledge 

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.

• 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 within the database.

Database Design and Implementation:

• Design and implement database objects: creating tables, views, stored procedures, and triggers within the database management system 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.

• Understanding of data governance principles and best practices.

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.