Data Engineer - Data and Analytics

KCC Malls; General Santos; Presencial; PHP 700.000 - 980.000; Jornada completa

Descripción de la vacante

KCC Malls is seeking a technically skilled GCP Data Engineer to build and maintain automated, scalable data pipelines within Google Cloud. You will collaborate with Analytics, IT, and DevOps to ensure robust data operations, event-driven workflows, and governed infrastructure across centralized reporting and system integrations.

The role emphasizes production-grade data engineering, security governance, and hands-on tooling with modern data platforms, enabling automation of complex data

Formación

• 5+ years of experience in cloud data engineering, preferably on GCP.
• Proven track record of deploying production-grade ETL/ELT pipelines.
• Proficiency in Python or Node.js for scripting and Cloud Functions.
• Experience working with modern data tools (Airbyte, dbt, Looker, Dataform).
• Familiarity with monitoring/logging tools like Cloud Monitoring, Stackdriver, or Prometheus.
• Understanding of cloud security, IAM, and access governance.
• GCP certifications (e.g., Professional Data Engineer, Cloud DevOps Engineer) are a plus.

Conocimientos

Cloud data engineering

ETL/ELT pipelines

Python

Node.js

Event-driven workflows

Herramientas

Airbyte

dbt

Looker

Dataform

Cloud Monitoring

Prometheus

Stackdriver

Cloud Functions

Descripción del empleo

We are looking for a technically skilled and solution-oriented GCP Data Engineer to strengthen our cloud data infrastructure. This role is central to building and maintaining automated, scalable data pipelines using Google Cloud services. You will work closely with our Analytics Engineers, IT , and DevOps teams to ensure robust data operations, event-driven workflows, and well-governed infrastructure.

Your contributions will directly support centralized reporting, system integrations, and the automation of complex data processes across KCC.

Job Qualifications

• 3+ years of experience in cloud data engineering, preferably on GCP.
• Proven track record of deploying production-grade ETL/ELT pipelines.
• Proficiency in Python or Node.js for scripting and Cloud Functions.
• Experience working with modern data tools (bonus: Airbyte, dbt, Looker, Dataform).
• Familiarity with monitoring/logging tools like Cloud Monitoring, Stackdriver, or Prometheus.
• Understanding of cloud security, IAM, and access governance.
• GCP certifications (e.g., Professional Data Engineer, Cloud DevOps Engineer) are a plus.