Core Skill Requirements
Teradata Data Modeling (Expert Level)
- 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) – Expert Level
- 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) – Deep Knowledge
- 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
Banking Domain
- Strong banking industry experience preferred
- Knowledge of banking KPIs, subscriber lifecycle, and usage analytics
- Experience with banking operational and analytical systems Financial Services Domain
- Strong banking and financial services experience preferred
- Understanding of enterprise banking systems and regulatory requirements
- Experience supporting compliance, analytics, and financial reporting initiatives Data Governance & Quality
- Experience in data governance and data quality frameworks
- Strong understanding of data lineage, metadata management, and compliance standards
