Posted:None|
Platform:
Hybrid
Full Time
Analyze and translate business requirements into conceptual and fully detailed logical data models.
Create logical data models based on existing applications and databases.Identify opportunities to optimize and extend data models for evolving business needs.Ensure data models support efficient API-based data access.Collaborate with Business Analysts to map data lifecycles across applications and transactions, reflecting operational realities.Contribute to ongoing updates to data modeling standards and best practices.Evaluate implemented application databases for variances from standards.Maintain detailed documentation including ERDs (entity-relationship diagrams) , data dictionaries, and data flow diagrams.
Position Requirements :
What Experience You Need:Minimum 5 years of hands-on experience in data modeling across conceptual, logical, and physical layers.Bachelors degree in computer science, Information Technology, or a related field (preferred).
What Could Set You Apart:
Metadata management and data modeling tools (ERWIN).Relational databases and data warehousing concepts.Business process modeling and physical data modeling for document store preferred.Ability to reverse-engineer existing data models.Excellent analytical, communication, and presentation skills.Familiarity with data ingestion tools (e.g., Qlik Replicate) and streaming platforms (e.g., Kafka).
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