Data Modeler

Core Skill Requirements Teradata Data Modeling (Expert Level) 10+ years of experience in Teradata Data Warehousing and Data ModelingStrong expertise in Logical & Physical Data ModelingExperience in enterprise-scale data warehouse implementationsExpertise in dimensional and normalized modeling techniquesStrong understanding of data governance, metadata, and data qualityAbility to translate business requirements into scalable data modelsCLDM (Communications Logical Data Model) – Expert LevelDeep expertise in CLDM implementation within banking environmentsStrong knowledge of banking domains including Customer, Billing, Product, Network, Usage, and CRMExperience customizing CLDM and mapping banking source systems into CLDM structuresStrong understanding of banking enterprise data integration standardsFSDM (Financial Services Data Model) – Deep KnowledgeStrong hands-on experience with FSDM implementationDeep understanding of banking and financial services domains including Accounts, Loans, Payments, Risk, Compliance, and Regulatory ReportingExperience designing enterprise financial data models aligned with FSDM standardsStrong knowledge of financial data governance, integration, and reporting requirementsLogical Data Modeling Strong expertise in conceptual, logical, and physical data modelingExperience in ER modeling, normalization, and enterprise information architectureHands-on experience with modeling tools such as ERwinAbility to define data standards, naming conventions, and governance practicesExperience Requirements Banking Domain Strong banking industry experience preferredKnowledge of banking KPIs, subscriber lifecycle, and usage analyticsExperience with banking operational and analytical systems Financial Services DomainStrong banking and financial services experience preferredUnderstanding of enterprise banking systems and regulatory requirementsExperience supporting compliance, analytics, and financial reporting initiatives Data Governance & QualityExperience in data governance and data quality frameworksStrong understanding of data lineage, metadata management, and compliance standards