Data Analytics Engineering

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

Are you driven by a passion for creating robust, scalable data solutions that can handle the ever‑increasing volume, velocity, and variety of data spanning a wide range of areas? Are you excited about designing real‑time data processing systems that can handle millions of transactions per second? Do you aspire to build fault‑tolerant, highly available data pipelines that ensure business continuity and support critical operations? Do you dream of putting together data solutions that bring data together while allowing for fast, complex queries that can influence and drive business decisions? As a data engineer, you’re at the forefront of the data movement, bridging the gap between raw information and actionable insights. Your role is crucial in refining and maintaining the data backbone of Globe, supporting both operational efficiency and analytical workloads. Your aspirations might include:

• Architecting data platforms that seamlessly integrates both operational and analytical workloads, providing trusted sources of data for the entire organization.
• Designing and implementing scalable, reusable data pipelines, defining frameworks, and leading data‑related projects to support the company's needs.
• Implementing cutting‑edge data governance and security measures to ensure compliance with regulations like DPA or GDPR while maintaining data accessibility.
• Exploring the potential of cloud‑native data solutions and multi‑cloud strategies to optimize cost and performance.
• Advocating for and implementing DataOps practices to increase collaboration between data practitioners, and other stakeholders.

As a data engineer, you're not just building systems; you're shaping how Globe interacts with and derives value from its data. Your work has the potential to unlock new business opportunities, drive innovation, and inform strategic decisions at the highest levels.

Your daily grind:

• Build and maintain robust data platforms for operational use cases.
• Design and implement scalable, reusable data pipelines, defining frameworks, and leading data‑related projects to support the company's operational needs.
• Develop Data Platform by leading the design, development, and maintenance of a scalable data platform to support various operational data use cases.
• Define and establish frameworks governance and best practices for data pipeline design, development, and deployment, ensuring efficiency and scalability.
• Create architecture, design, and implement reusable and efficient data pipelines for ingesting, processing, and transforming data from diverse sources into formats ready for operational use, while adhering to best practices in automation and optimization.