Manager, Data Engineer

GCash

. Manage existing data resources and introduce technologies and tooling that advance data warehousing, science, analytics, and scalable data sharing .

Posted 10/27/2026full-timePhilippinesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data warehousing, data modeling, and ETL development, with a strong focus on maintaining data quality and implementing engineering standards. Proficient in modern programming languages and capable of hands-on development in data environments.

Highest-signal resume keywords

SQLData WarehousingETL DevelopmentData ModelingBig Data Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingETL DevelopmentData WarehousingData TransformationPythonRubyScalaJavaHadoop

Tools & Technologies

EMRHadoopHiveData Sharing PlatformsData Environments

Industry Keywords

Data Engineering StandardsData QualityCapacity ForecastingBudget ManagementData Usage Processes

Tech Stack

Tools & technologies

ETLHadoopJavaPythonRubyScalaSQL

About the role

Key responsibilities & impact

Manage existing data resources and introduce technologies and tooling that advance data warehousing, science, analytics, and scalable data sharing
Own data environments, including data warehouse and data-sharing platforms, with capacity to contribute hands-on development when needed
Oversee the design of data usage processes supporting 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

Requirements

What you’ll need

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)

Benefits

Comp & perks

Opportunity for career growth and development
Working with a dynamic and highly collaborative team
Highly competitive and flexible compensation and benefits package