Title: Data Modeler
Location: Iselin NJ (Hybrid role 3-4 days a week onsite) need local candidates only.
Rate: On C2C/ W2
JD:
- Design and develop conceptual logical and physical data models for enterprise and application-level databases.
- Translate business requirements into well-structured data models that support analytics reporting and operational systems.
- Define and maintain data standards naming conventions and metadata for consistency across systems.
- Collaborate with data architects engineers and analysts to implement models into databases and data warehouses/lakes.
- Analyze existing data systems and provide recommendations for optimization refactoring and improvements.
- Create entity relationship diagrams (ERDs) and data flow diagrams to document data structures and relationships.
- Support data governance initiatives including data lineage quality and cataloging.
- Review and validate data models with business and technical stakeholders.
- Provide guidance on normalization denormalization and performance tuning of database designs.
- Ensure models comply with organizational data policies security and regulatory requirements.
Title: Data Modeler Location: Iselin NJ (Hybrid role 3-4 days a week onsite) need local candidates only. Rate: On C2C/ W2 JD: Design and develop conceptual logical and physical data models for enterprise and application-level databases. Translate business requirements into well-structured data m...
Title: Data Modeler
Location: Iselin NJ (Hybrid role 3-4 days a week onsite) need local candidates only.
Rate: On C2C/ W2
JD:
- Design and develop conceptual logical and physical data models for enterprise and application-level databases.
- Translate business requirements into well-structured data models that support analytics reporting and operational systems.
- Define and maintain data standards naming conventions and metadata for consistency across systems.
- Collaborate with data architects engineers and analysts to implement models into databases and data warehouses/lakes.
- Analyze existing data systems and provide recommendations for optimization refactoring and improvements.
- Create entity relationship diagrams (ERDs) and data flow diagrams to document data structures and relationships.
- Support data governance initiatives including data lineage quality and cataloging.
- Review and validate data models with business and technical stakeholders.
- Provide guidance on normalization denormalization and performance tuning of database designs.
- Ensure models comply with organizational data policies security and regulatory requirements.
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