Data Modeler
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Key skills for this role
About the Role
CoorB seeks a Data Modeler to analyze existing data structures and design target-state conceptual, logical, physical, dimensional, and semantic models. The role involves documenting current entities, identifying issues, and supporting MDM domain modeling.
Key Skills for This Role
Responsibilities
- 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
- Experience in data modeling and analysis of existing data structures
- Ability to design conceptual, logical, physical, dimensional, and semantic models
- Experience with ODS, DWH, EDM, marts, MDM, cubes, and reporting datasets
- Ability to work with Business Analysts and ETL Developers
Full Job Posting
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.
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