Data Analytics Engineering

Overview

Data Analytics Engineering role at Globe Telecom.

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 integrate 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.

• 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.
• Provide accurate level-of-effort estimates for new initiatives and change requests, facilitating effective project evaluation, budgeting, and tracking for success.
• Develop proofs-of-concept, minimum viable products (MVPs), prototypes, and product demos to showcase the feasibility and potential of new data solutions.
• Utilize project management methodologies and tools to plan, execute, and monitor data projects, ensuring timely delivery and alignment with business objectives.
• Stay up-to-date with emerging data technologies, frameworks, and tools, and assess their potential impact on the organization’s data strategy and operations.
• Ensure that data security best practices are integrated into all aspects of data platform development and pipeline management.
• Support in designing data pipelines, data lakes, warehouses, and machine learning solutions to power other business units with data.
• Build and produce scaled data pipelines, lakehouses, and machine learning infrastructure on AWS or GCP.
• Maintain efficient, accurate and safe data storage and flow, and right-size data infrastructure resources based on usage analytics and workload profiling.
• Assess operationalization of technologies like distributed computing, streaming analytics, and cloud-native data patterns in ISG’s environment.
• Collaborate with Cloud & Infra Engineers to implement automation and policies to eliminate waste, stop unused resources, increase efficiency.
• Troubleshoot and resolve data-related issues.

Throughout your day, you’ll tackle challenges in data integration, optimization, and architecture, ensuring Globe’s data remains accurate, accessible, and secure.

• Technical Expertise:
  • Strong background in programming languages like Python, SQL and Java
  • In-depth knowledge of Data Engineering tools (Airflow, NiFi, Dataflow, AWS Glue) is preferred
  • Experience in ETL development and management
  • Experience in Data warehousing solutions (Snowflake, Redshift, BigQuery)
  • Experience with Cloud Platforms (AWS and GCP)
  • In-depth experience in automated data pipeline design, implementation and support
  • Experience in Data Processing, Data Tools, Data modeling
  • Familiarity with GitOps Principles
  • Experience in DevSecOps Processes
  • Understanding of data engineering design and development best practices
  • Understanding of data management best practices
• Experience: 5+ years of hands-on experience as a Data Engineer, in designing and implementing data solutions and data pipelines.
• Problem-Solving Mindset: Analytical, with the ability to take on abstract business challenges, and design practical and scalable solutions.
• Strong Communication Skills: Comfortable translating technical requirements into clear, concise business objectives.
• Team Leadership: Experienced in guiding cross-functional teams to success in a fast-paced, agile environment.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Telecommunications

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Taguig, National Capital Region, Philippines