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.
- Robust 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.

📌 Data Modeling Techniques and Methodologies (Mumbai)
🏢 RNR Global Certification
📍 Mumbai