Data Modeler
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Job Location:
Reston, VA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Data Modeler
Reston VA (3 days onsite per week)
Duration: 2 years
* Role overview: The data modeler will support multiple scrum teams by modeling fields for new events working closely with product owners and the enterprise data governance team to ensure proper naming and enumeration standards.
* Technical skills required: Candidates should be well-versed in both relational and dimensional modeling with experience in AWS environments specifically RDS and Redshift and handling data migration projects involving interfaces and event loading.
* Data formats and tools: The team primarily works with JSON data received from upstream systems and ER Studio is the essential tool for data modeling across the enterprise. Proficiency in Microsoft Office (Excel Word PowerPoint) is expected for documentation and presentations.
Reston VA (3 days onsite per week)
Duration: 2 years
* Role overview: The data modeler will support multiple scrum teams by modeling fields for new events working closely with product owners and the enterprise data governance team to ensure proper naming and enumeration standards.
* Technical skills required: Candidates should be well-versed in both relational and dimensional modeling with experience in AWS environments specifically RDS and Redshift and handling data migration projects involving interfaces and event loading.
* Data formats and tools: The team primarily works with JSON data received from upstream systems and ER Studio is the essential tool for data modeling across the enterprise. Proficiency in Microsoft Office (Excel Word PowerPoint) is expected for documentation and presentations.
The top 4 skills that vendors need to focus on for the data modeler position are:
1. Data Modeling Expertise: The candidate should be well-versed in both relational and dimensional modeling. This includes the ability to work with the enterprise data governance team to ensure proper naming and enumeration standards
2. Experience with AWS Environments: The candidate should have experience working in AWS environments specifically with RDS and Redshift. This includes handling data migration projects involving interfaces and event loading
3. Proficiency with ER Studio: The candidate must be proficient in using ER Studio as it is the essential tool for data modeling across the enterprise
4: Mortgage / FinTech background preferred
1. Data Modeling Expertise: The candidate should be well-versed in both relational and dimensional modeling. This includes the ability to work with the enterprise data governance team to ensure proper naming and enumeration standards
2. Experience with AWS Environments: The candidate should have experience working in AWS environments specifically with RDS and Redshift. This includes handling data migration projects involving interfaces and event loading
3. Proficiency with ER Studio: The candidate must be proficient in using ER Studio as it is the essential tool for data modeling across the enterprise
4: Mortgage / FinTech background preferred
Key Skills
- Atl
- CMMS
- ABAP
- Community Support
- CRM
- Fleet
