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Manager, Data Engineer
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Salary
≈ $20k – $47k per year (Estimated)
Location
In office (Taguig)
Seniority
Staff · 5+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 27, 2026. GCash scores B on the Alion truth index.
Overview
Company
Impact
Profile match
GCash is a mobile wallet and financial services provider based in Taguig, Philippines, and was launched in 2004. The platform offers a comprehensive suite of digital services including peer-to-peer money transfers, bill payments, mobile airtime top-ups, savings accounts, insurance products, and investment tools. Operated by G-Xchange, a subsidiary of Mynt, the company serves over 94 million users and millions of merchants primarily in the Philippines while expanding its reach to international markets.
Backed by Insight Partners, Warburg Pincus
Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today!
Who you’ll be working with:
If you have a strong background in IT, computer science, or software engineering, and are analytical, technologically savvy, solutions and process-focused, then the Technology & Operations team may be for you!
You will be responsible for the following:
- Manage existing data resources and introduce technologies and tooling that advance data warehousing, science, analytics, and scalable data sharing.
- Own data environments (e.g., data warehouse and data-sharing platforms), with the capacity to contribute hands-on development when needed.
- Oversee the design of data usage processes that support teams across the organization.
- Gather and clarify requirements through direct engagement with business, science, and software development stakeholders.
- Define and uphold Data Warehousing Engineering Standards & Practices covering versioning, readability, functionality, extensibility, data quality, test results, deployment, post-deployment, and hypercare.
We’re looking for:
- Bachelors degree holder of any computer related course
- 5+ years of demonstrated strength in SQL, data modeling, ETL development, and data warehousing
- 5+ years maintaining data warehouses and performing large-scale data transformation using EMR, Hadoop, Hive, or comparable big data technologies
- Experience with hardware provisioning, capacity forecasting, and budget management (nice to have)
- Proficiency in at least one modern programming language (e.g., Python, Ruby, Scala, or Java)
What We Offer
Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package
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