Data Modeler
Key Skills for This Role
Full Job Posting
Teradata Data Modeling
- 10+ years of experience in Teradata Data Warehousing and Data Modeling.
- Strong expertise in Logical & Physical Data Modeling.
- Experience in enterprise-scale data warehouse implementations.
- Expertise in dimensional and normalized modeling techniques.
- Strong understanding of data governance, metadata, and data quality.
- Ability to translate business requirements into scalable data models.
CLDM (Communications Logical Data Model)
- Deep expertise in CLDM implementation within banking environments.
- Strong knowledge of banking domains including Customer, Billing, Product, Network, Usage, and CRM.
- Experience customizing CLDM and mapping banking source systems into CLDM structures.
- Strong understanding of banking enterprise data integration standards.
FSDM (Financial Services Data Model)
- Strong hands-on experience with FSDM implementation.
- Deep understanding of banking and financial services domains including Accounts, Loans, Payments, Risk, Compliance, and Regulatory Reporting.
- Experience designing enterprise financial data models aligned with FSDM standards.
- Strong knowledge of financial data governance, integration, and reporting requirements.
Logical Data Modeling
- Strong expertise in conceptual, logical, and physical data modeling.
- Experience in ER modeling, normalization, and enterprise information architecture.
- Hands-on experience with modeling tools such as ERwin.
- Ability to define data standards, naming conventions, and governance practices.
Experience Requirements
- Strong banking industry experience preferred.
- Knowledge of banking KPIs, subscriber lifecycle, and usage analytics.
- Strong banking and financial services experience preferred.
- Understanding of enterprise banking systems and regulatory requirements.
- Experience supporting compliance, analytics, and financial reporting initiatives.
- Experience in data governance and data quality frameworks.
- Strong understanding of data lineage, metadata management, and compliance standards.
Responsibilities
- Translate business requirements into scalable data models.
- Customize CLDM and map banking source systems into CLDM structures.
- Design enterprise financial data models aligned with FSDM standards.
- Define data standards, naming conventions, and governance practices.
- Support compliance, analytics, and financial reporting initiatives.
- Apply data lineage, metadata management, and compliance standards.
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