Data Modeler

Location: 21F The Globe Tower

Time Type: Full time

Job Description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description

The Data Modeler designs conceptual, logical, and physical schemas to support the organization’s data architecture. They develop comprehensive source-to-target mapping documents that define the transformation logic and metadata required for data integration. By applying normalization and dimensional modeling, the individual optimizes data structures for performance, scalability, and accurate business reporting.

DUTIES AND RESPONSIBILITIES:

Creation of the logical and physical data models for the Gold Layer, focusing on creating subject-oriented, dimensional models (e.g., Star/Snowflake schemas) optimized for high-volume query performance.

• Define and enforce data standards, naming conventions, metadata management, and data type definitions specific to the consumption layer, ensuring semantic consistency across all critical business domains.

• Design the required aggregation, refinement, and transformation logic (Business Rule Definition) to convert standardized data from the Silver Layer into consumable, ready-to-use Gold Layer tables.

• Develop and maintain comprehensive Source-to-Target Mappings (STMs) that detail the transformation journey from the Silver Layer source to the Gold Layer target tables.

• Ensure the Gold Layer design scales efficiently to handle Globe Telecom's massive volume of telco data (e.g., CDRs, network logs, customer interactions) and evolving business needs.

REQUIREMENTS:

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related quantitative field.

• Experience in SQL and familiarity with at least one scripting language (Python or Scala) for data transformation.

Advantage if you have:

• Familiarity in designing and optimizing dimensional models (Kimball methodology) for large-scale data sets.

• Familiarity in modern cloud data platforms (e.g., AWS, Azure, or GCP) and related Big Data technologies (e.g., Spark/Databricks, Snowflake, or similar cloud data warehouse technologies).

• Deep understanding of the Medallion Architecture (Bronze, Silver, Gold Layers) and the specific function of the Gold/Consumption Layer

• Experience in the Telecommunications industry or a similar high-volume transactional sector is a plus.

• Certifications related to Cloud Data Architecture (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer, or Databricks Certified Data Engineer) is a plus.

Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.