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Data Modeler

TalentOla

Data Modeler with Erwin Experience




Job Description:
client is looking for strong Erwin tool experience.

Role Description:

  • Define entities, relationships, and keys (primary/foreign keys) and document cardinalities
  • Specify table grain (row-level meaning) for each fact/event/feature table
  • Create dimension tables with consistent codes, descriptions, and hierarchy attributes where applicable
  • Create fact/event tables with measures, timestamps, and join keys to relevant dimensions/entities
  • Represent time using standard date/time fields and, when needed, effective start/end dates for history
  • Standardize naming conventions, data types, units, and allowed values (domains) across models
  • Add metadata and documentation (field definitions, source system, refresh cadence, owner)
  • Implement basic validation checks (nullability, uniqueness, referential integrity, value ranges)
  • Design outputs for common access patterns (joins, filters, aggregations) used by OLAP and AI pipelines
  • Maintain versioning/change history for models and update downstream dependencies when schemas change
  • Optimize the models for performance of AI/BI use cases
  • Good understanding of Databricks concepts
  • Strong work experience of tools like Erwin
Vacancy posted 3 days ago
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