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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The Company









