Data Modeler with PostgreSQL
2 hours ago
Scope of Work/Responsibilities
Data Modeling
- Design and implement conceptual, logical, and physical data models for enterprise systems.
- Ensure consistency and compliance with data architecture principles and naming standards.
- Document models, relationships, and metadata.
Database Design and Optimization
- Create and maintain database schemas, tables, indexes, and views in PostgreSQL.
- Optimize queries, indexes, and storage structures for performance.
- Support normalization and denormalization strategies as required.
Collaboration and Integration
- Work closely with application developers, data engineers, and ETL teams to ensure alignment between data models and implementation.
- Participate in data migration and integration projects, ensuring model integrity.
Governance and Documentation
- Maintain data dictionaries and metadata repositories.
- Establish best practices for database design and change management
Support and Review
- Review and refactor existing database structures where necessary.
- Provide support during testing, deployment, production and performance tuning phases.
Requirement and Qualification (Education & Work Experience)
Education and Work Experience
- Bachelor's degree in Computer Science, Information Systems, or related field.
- Minimum 5 years of experience in data modeling and database design.
- Proven hands-on experience with
PostgreSQL
, including schema design, indexing, and query optimization. - Familiarity with data modeling tools (e.g., ERwin, ER/Studio, pgModeler, or similar).
- Experience in data migration using ETL tools like ADF
- Experience working with large-scale, complex datasets and data integration projects.
- Strong understanding of normalization, data integrity, and relational database theory.
- Excellent analytical, communication, and documentation skills.
Datailed Tasks/Expected Output
- Conceptual, logical, and physical data models.
- PostgreSQL database schema scripts and documentation.
- Data dictionary and metadata documentation.
- Performance optimization and tuning report.
- Recommendations for ongoing database design improvements.
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