Data Modeler
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Job Location:
Jersey, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Title: Data Modeler
Location: Jersey City NJ 07311 (Hybrid)
Duration: 12 Months
Pay Rate: $70.00 - $79.00/- on W2
Kindly share your most updated resume.
Roles and Responsibilities:
- Design implement and optimize data models for the data warehouse ensuring alignment with business requirements.
- Work extensively with IBM IDA (InfoSphere Data Architect) to create logical and physical data models.
- Ensure that the data models are scalable performant and aligned with the organizations data strategy.
- Collaborate with data engineers to implement and maintain data models in Azure and Databricks environments.
- Translate business requirements into conceptual logical and physical data models ensuring data quality and consistency across systems.
- Participate in data architecture and design discussions to ensure data modeling best practices are followed.
- Develop and maintain documentation of data models data flow diagrams and database design specifications.
- Work with stakeholders to ensure the data models support analytics reporting and data integration needs.
- Perform impact analysis of changes to existing models and collaborate with teams to assess the effects on downstream systems.
- Continuously improve and optimize data models to enhance performance and data accessibility.
- Work extensively with IBM IDA (InfoSphere Data Architect) to create logical and physical data models.
- Ensure that the data models are scalable performant and aligned with the organizations data strategy.
- Collaborate with data engineers to implement and maintain data models in Azure and Databricks environments.
- Translate business requirements into conceptual logical and physical data models ensuring data quality and consistency across systems.
- Participate in data architecture and design discussions to ensure data modeling best practices are followed.
- Develop and maintain documentation of data models data flow diagrams and database design specifications.
- Work with stakeholders to ensure the data models support analytics reporting and data integration needs.
- Perform impact analysis of changes to existing models and collaborate with teams to assess the effects on downstream systems.
- Continuously improve and optimize data models to enhance performance and data accessibility.
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