Data Modeler with PostgreSQL

5 days ago

Pasig, National Capital Region, Philippines Tata Consultancy Services Full time ₱900,000 - ₱1,200,000 per year

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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