Data Analytics Engineer: Real-Time Pipelines & Cloud Platform

Globe Telecom; Pateros; On-site; PHP 1,200,000 - 1,900,000; Full time

Job summary

Globe Telecom is seeking an experienced Data Engineer to design and build robust data platforms and scalable pipelines supporting both operational and analytical workloads. You will work on real-time data processing systems, ensuring fault tolerance, high availability, and data-driven decision support.

The role emphasizes data governance and cross-functional collaboration. The ideal candidate brings 5+ years in data engineering, strong Python/SQL/Java skills, and hands-on experience with cloud

Qualifications

• Strong background in Python, SQL and Java for data engineering.
• Experience designing scalable data pipelines and ETL processes.
• Familiarity with cloud platforms (AWS/GCP) and data warehousing.
• Knowledge of data governance, security, and best practices.

Responsibilities

• Build and maintain robust data platforms for operational use cases.
• Design scalable, reusable data pipelines and lead data-related projects.
• Develop a scalable data platform to support diverse operational data use cases.
• Define governance and best practices for data pipelines ensuring efficiency.

Skills

Python

SQL

Java

Tools

Airflow

NiFi

Dataflow

AWS Glue

Snowflake

Redshift

BigQuery

AWS

GCP

Job description

Globe Telecom is seeking an experienced Data Engineer to design and build robust data platforms and scalable pipelines supporting both operational and analytical workloads. You will work on real-time data processing systems, ensuring fault tolerance, high availability, and data-driven decision support.

The role emphasizes data governance and cross-functional collaboration. The ideal candidate brings 5+ years in data engineering, strong Python/SQL/Java skills, and hands-on experience with cloud