Data Modeling Techniques and Methodologies

oles & Responsibilities:

- Expected to be an SME, collaborate and manage the team to perform.

- Responsible for team decisions.

- Engage with multiple teams and contribute on key decisions.

- Provide solutions to problems for their immediate team and across multiple teams.

- Lead efforts to ensure data models are scalable, maintainable, and aligned with enterprise architecture standards.

- Facilitate communication between technical teams and business units to clarify data requirements and resolve discrepancies.

- Mentor junior team members by sharing knowledge and best practices related to data modeling and design.

- Continuously evaluate and improve data modeling processes to enhance efficiency and accuracy.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.

- Strong knowledge of relational and dimensional data modeling concepts.

- Experience with database design and data warehousing principles.

- Ability to translate complex business requirements into effective data models.

- Familiarity with data governance and metadata management practices.

- Skilled in using data modeling tools and software to create and maintain models.