Data Modeler

Posted 2 Months Ago
Be an Early Applicant
Ar-Riyāḑ, SAU
In-Office
Mid level
Software
The Role
Analyze existing data structures across ODS, DWH, MDM, marts and cubes; document entities, attributes, keys and definitions; identify duplicates and inconsistencies; design conceptual, logical, physical and dimensional models; create source-to-target mappings; support semantic models and MDM domain modeling; work with business analysts and ETL developers to validate definitions and ensure correct implementation.
Summary Generated by Built In

ABOUT CoorB

We build full-fledged innovative solutions with a focus on process automation, user experience enhancement, and advanced data analytics. With our extensive industry expertise, we help achieve operational excellence, future-proof your IT investments, and ensure a competitive edge in the ever-evolving finance industry.


OUR OPPORTUNITY

The Data Modeler analyzes existing data structures and designs target-state conceptual, logical, physical, dimensional, and semantic models.

YOU WILL

  • Analyze existing data models across ODS, DWH, EDM, marts, MDM, cubes, and reporting datasets. 
  • Document current entities, attributes, relationships, keys, hierarchies, and business definitions. 
  • Identify duplicate entities, inconsistent definitions, and overlapping datasets. 
  • Design conceptual, logical, and physical data models for the target architecture. 
  • Design dimensional models including facts, dimensions, aggregates, and Gold-layer datasets. 
  • Support semantic model design for reporting and analytics. 
  • Support MDM domain modeling for customer, account, product, reference data, or other domains. 
  • Create source-to-target mapping specifications. 
  • Work with Business Analysts to validate business definitions and rules. 
  • Work with ETL Developers to ensure correct implementation of models. 
  • Support reconciliation between existing and target data models. 

Requirements
  • TO BE SUCCESSFUL IN THE ROLE YOU NEED

  • Strong experience in relational, dimensional, and enterprise data modeling. 
  • Experience with DWH, ODS, MDM, lakehouse, and semantic modeling. 
  • Strong SQL knowledge. 
  • Experience with ERwin, PowerDesigner, SQL Developer Data Modeler, or similar tools. 
  • Understanding of facts, dimensions, slowly changing dimensions, keys, hierarchies, and reference data. 
  • Banking or financial services domain knowledge is preferred.


Skills Required

  • Strong experience in relational, dimensional, and enterprise data modeling
  • Experience with DWH, ODS, MDM, lakehouse, and semantic modeling
  • Strong SQL knowledge
  • Experience with ERwin, PowerDesigner, SQL Developer Data Modeler, or similar tools
  • Understanding of facts, dimensions, slowly changing dimensions, keys, hierarchies, and reference data
  • Banking or financial services domain knowledge
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100 Employees

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