Data Modeller

Key Responsibilities

• Design, develop, and maintain dimensional data models to support analytics and reporting.
• Design conceptual, logical, and physical data models Utilize AWS services for scalable data model design
• Align data models with business rules and governance standards.
• Collaborate with business stakeholders, data architects, and engineers to ensure data models align with business rules and data governance standards.
• Translate business requirements into scalable and efficient data models.
• Maintain comprehensive documentation for data models, metadata, and data dictionaries.
• Ensure consistency and integrity of data models across systems and platforms.
• Partner with data engineering teams to implement models in AWS-based environments, including Redshift, Glue, and Lake Formation.

Required Skills and Qualifications

• 5+ years of experience in data modeling, with a focus on dimensional modeling and data warehouse design.
• Proficiency in developing conceptual, logical, and physical data models.
• Strong understanding of data governance, data quality, and metadata management.
• Hands-on experience with AWS services such as Redshift, Glue, and Lake Formation.
• Familiarity with data modeling tools (e.g., ER/Studio, ERwin, or similar).
• Excellent communication skills and ability to work with cross-functional teams.

Preferred Qualifications

• Experience in the banking or financial services sector.
• Knowledge of data lake architecture and modern data stack tools.
• AWS or data modeling certifications are a plus.