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Digital OSS Data Platform Engineer

Globe Telecom

Digital OSS Data Platform Engineer

full-timePosted: Aug 4, 2026Updated: Sep 3, 202616F The Globe Tower

Job Description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal. Job Description The ND Data Platform Engineer is responsible for overseeing the lifecycle of the data platform. This role also requires designing and managing data pipelines.Duties and Responsibilities:Data Engineering Focus: Design, build and manage our data pipelines, ensuring all data is seamlessly integrated into our data warehouse. Participate in architecture and engineering decisions, bringing your strong experience and knowledge. Platform / Infrastructure Roadmap - Provide recommendation that outlines the evolution and development of the platforms and infrastructure Change & Release Management - process of planning, approving, implementing, and monitoring changes and releases to the platform and infrastructure with minimal impact Capacity Dimensioning - planning, analyzing, and optimizing the resources required for infrastructure and platforms to meet current and future demand efficiently Requirements:- 3+ yrs experience in data engineering, 3+ yrs experience in platform engineering- Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Java- Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems- Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks- Familiarity with automation, AI, and machine learning applications in a telco environment is beneficial.- Knowledge of telco-specific technologies - Experience in managing internal stakeholders and vendor relationshipsEqual Opportunity EmployerGlobe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed hereMake Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

Locations

  • 16F The Globe Tower

Skills Required

  • data engineeringintermediate
  • platform engineeringintermediate
  • distributed processing technologiesintermediate
  • managing internal stakeholdersintermediate
  • automationintermediate
  • any of ETL schedulers such as Airflowintermediate

Required Qualifications

  • - 3+ yrs experience in data engineering, 3+ yrs experience in platform engineering (experience)
  • - Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Java- Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems- Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks- Familiarity with automation, AI, and machine learning applications in a telco environment is beneficial.- Knowledge of telco-specific technologies - Experience in managing internal stakeholders and vendor relationships (experience)
  • Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us. (experience)

Responsibilities

  • Data Engineering Focus: Design, build and manage our data pipelines, ensuring all data is seamlessly integrated into our data warehouse. Participate in architecture and engineering decisions, bringing your strong experience and knowledge.
  • Platform / Infrastructure Roadmap - Provide recommendation that outlines the evolution and development of the platforms and infrastructure
  • Change & Release Management - process of planning, approving, implementing, and monitoring changes and releases to the platform and infrastructure with minimal impact
  • Capacity Dimensioning - planning, analyzing, and optimizing the resources required for infrastructure and platforms to meet current and future demand efficiently

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