Data Warehouse Lead & Manager — Drive Big Data Solutions

GCash; Metro Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

GCash seeks a data engineering professional to manage data warehousing, ETL, and analytics infrastructure in a fast-paced FinTech environment. You will drive scalable data solutions and collaborate across teams to ensure data quality and availability.

Responsibilities include owning data environments, defining standards, and engaging with business and software stakeholders to deliver reliable data flows and impactful analytics capabilities.

Qualifications

• Bachelor's degree in a computer-related field.
• 5+ years of SQL, data modeling, ETL development and data warehousing experience.
• 5+ years maintaining data warehouses and performing large-scale data transformation with EMR/Hadoop/Hive or similar.
• Experience with hardware provisioning, capacity forecasting, and budget management is a plus.
• Proficiency in at least one programming language (Python, Ruby, Scala, or Java).

Responsibilities

• Manage existing data resources and introduce technologies that advance data warehousing, science, analytics, and data sharing.
• Own data environments (data warehouse and data-sharing platforms) and 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 covering versioning, readability, functionality, extensibility, data quality, test results, deployment, post-deployment, and hypercare.

Skills

SQL

Data modeling

ETL development

Data warehousing

Python

Ruby

Scala

Java

Education

Bachelor's degree in computer related course

Tools

EMR

Hadoop

Hive

Job description

GCash seeks a data engineering professional to manage data warehousing, ETL, and analytics infrastructure in a fast-paced FinTech environment. You will drive scalable data solutions and collaborate across teams to ensure data quality and availability.

Responsibilities include owning data environments, defining standards, and engaging with business and software stakeholders to deliver reliable data flows and impactful analytics capabilities.