
Data Modeler
1 day ago
Minimum Qualifications
Qualifications:
- Strong proficiency in ER modeling tools such as Erwin, ER/Studio, or dbt (Data Build Tool).
- Working knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, DynamoDB) commonly used in modern digital architectures.
- Familiarity with data mesh, data lakehouses, and cloud-native architectures in a regulated fintech environment.
- Hands-on experience with data integration tools, ETL pipelines, and API-based data exchange frameworks.
- Deep understanding of relational and dimensional modeling for both transactional and analytical systems.
- Knowledge of data privacy and data residency rules in the Philippines and how they impact model design.
- Experience working with CI/CD pipelines and version control tools (e.g., Git, Bitbucket) for data-related assets.
- Bachelor's Degree in Computer Science, Information Systems, Data Science, or a related field. Master's Degree is a plus.
- 4–6 years of experience in data modeling and analysis, preferably in banking, fintech, or digital financial services.
- Experience working in Agile or Scrum environments, with a strong focus on cross-functional collaboration.
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