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No of position :- ( 1 )
Post :- 3rd Sep 2025
Analyze, Design and Implement
1. 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.