Data Models
Indotronix Avani Group
New York, NY, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Data Architecture
Extract Transform Load (ETL)
JSON
Logical Data Models
Job description
Join a leading team as a Data Models specialist based in Lake Mary, with a flexible hybrid work environment requiring three days a week in-office. Collaborate with top-tier Data Architects and Data/ETL Engineers to design and implement critical logical data models. This role is ideal for professionals passionate about shaping robust data foundations and driving impactful business solutions., Develop comprehensive logical data models aligned with the canonical data model
- Partner with Data Architects to ensure data models are scalable and efficient
- Collaborate closely with Data/ETL Engineers for seamless model implementation
- Document model specifications and maintain data modeling standards
- Participate in project meetings and provide expert input on data structure best practices
Requirements
Proven experience building detailed logical data models
- Strong understanding of canonical data modeling concepts
- Demonstrated collaboration with Data Architects and Data/ETL Engineers
- Excellent communication and documentation skills
- Ability to work onsite in Lake Mary three days per week (hybrid)
[Preferred Skills]
- Experience with large-scale enterprise data environments
- Familiarity with modern data modeling tools and technologies
- Background in master data management projects, Submit your application today if you are driven to develop leading-edge data models and thrive in a dynamic, hybrid workplace. Candidates must be authorized to work in the United States without sponsorship., Develop detailed logical data models based on the canonical data model Work closely with the Data Architect and Data/ETL Engineers to ensure models are implementable – Based out of Lake Mary and hybrid - 3 days a week in office
Benefits & conditions
Hybrid work schedule for optimal work-life balance
- Exposure to cutting-edge data architecture projects
- Opportunities for career advancement and professional growth
- Collaborative and innovative team environment
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