only W2- Data Modeler -PAST FREDDIE MAC OR FANNIE MAE CANDIDATES
Position Title*
Data Modeler
Position Responsibilities
100% REMOTE
EST HOURS
ONLY WANT PAST FREDDIE MAC OR FANNIE MAE CANDIDATES
Power BI developing in dashboards in Power, might have to do dax or enhancements in data modeling
do not need to do customize widgets but understand dax and advanced queries
top 3 must haves: complex dashboards, multiple data sets..they already have legacy dashboards that overlap in quick view...would be major view
Data Modeler (Consultant) Job Description Responsibilities: 1. Analyze, Design and Implement Data Models: Analyze legacy and recent data usage across applications. Develop conceptual, logical, and physical data models. Implement relational, dimensional databases. Create data models optimized across different data domains. Optimize models for data query performance using best practices. 2. Collaboration: Work with business analysts, data architects, data administrators and database/BI developers. Translate enterprise requirements into effective data models. 3. Standards and Best Practices: Define, review and document data modeling and design standards. 4. Hands-On Expertise: Perform hands-on modeling, design, configuration, development, and performance tuning. Work proactively to address project requirements. Qualifications: Education: Bachelor s degree in computer engineering, computer science, information systems, or a related field. Experience: 8+ years in data analytics, data modeling, or data architecture. Proficiency in data modeling for transactional, operational reporting, and analytical solutions (EDW, Data Lake). Experienced with Dimensional Modeling and Data Warehouse Modeling. Experience using data modeling tools (e.g., IDERA Data Architect, Erwin). Knowledge of SQL and its use in data access and analysis. Experience in remodeling and/or re-platforming of legacy application databases. Knowledge of cloud-based databases (e.g., Azure/Fabric). Exposure to data architecture implementation on Azure/Fabric preferred. Skills: Excellent communication, problem-solving, organizational, and analytical skills. Ability to work independently and collaboratively. Authorized to work in the United States
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