DATA MODELER Data scientists

Hard Skills

AdvancedDimensional ModelingThe practice of structuring data into facts and dimensions to optimize for analytical reporting and performance in data warehouses.
IntermediateEntity-Relationship Modeling (ERM)The process of creating a graphical representation of entities and their relationships to define the logical structure of databases.
IntermediateNoSQL Data ModelingDesigning data structures for non-relational databases such as document, key-value, graph, or wide-column stores.
AdvancedData Governance & Metadata ManagementImplementing standards and documentation for data definitions, lineage, and usage to ensure consistency across the enterprise.
IntermediateData Normalization and DenormalizationThe process of organizing data to minimize redundancy (normalization) or strategically adding redundancy to improve read performance (denormalization).

Soft Skills

AdvancedBusiness Requirements AnalysisThe ability to translate complex business objectives into specific technical data requirements and modeling specifications.

Mobility Path: High Affinity Match (>60%)

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