Cloud Data Engineer: Real-Time Pipelines & DataOps

Globe Group; Philippines; On-site; PHP 3,000,000 - 5,400,000; Full time

Job summary

Globe seeks a Data Engineer to build and maintain robust data platforms for operational use cases and analytical workloads across its environments. You will design scalable pipelines, define governance practices, and ensure secure data flows from diverse sources to support business decisions.

The role emphasizes cloud-native architectures, MVPs, and collaboration with cross-functional teams to deliver reliable, scalable data solutions that empower Globe's data strategy and operations.

Qualifications

• Hands-on experience as a Data Engineer designing and implementing data solutions and pipelines.
• Analytical mindset with ability to translate business needs into scalable data design.
• Strong communication skills to align cross-functional stakeholders.

Responsibilities

• Build and maintain robust data platforms for operational use cases.
• Design and implement scalable, reusable data pipelines and frameworks.
• Define governance and best practices for data pipelines and deployment.
• Create architectures for ingesting, processing, and transforming data from diverse sources.
• Provide effort estimates for initiatives and change requests.
• Develop proofs-of-concept, MVPs, prototypes, and demos for new data solutions.
• Plan and monitor data projects using project management methods.
• Stay up-to-date with emerging data technologies and assess impact.
• Ensure data security practices are integrated into development and operations.
• Collaborate to design data lakes, warehouses, and ML infrastructure on AWS or GCP.
• Troubleshoot data-related issues.

Skills

Data engineering

Problem solving

Communication

Leadership

Job description

Globe seeks a Data Engineer to build and maintain robust data platforms for operational use cases and analytical workloads across its environments. You will design scalable pipelines, define governance practices, and ensure secure data flows from diverse sources to support business decisions.

The role emphasizes cloud-native architectures, MVPs, and collaboration with cross-functional teams to deliver reliable, scalable data solutions that empower Globe's data strategy and operations.