在招职位 0
订阅提醒 登录
发布于 2026-10-20 英文原文

数据工程师 - 数据平台部门

Data Engineer - BI Insights Group, Data Platform Department (DPD)

楽天グループ

职种数据与人工智能 雇用形态—
工作地点日本(乐天集团) 薪资面议

职位概要

乐天集团数据平台部门(DPD)招聘数据工程师,负责设计、开发、测试和实施可扩展的云数据仓库解决方案、优化的数据管道和稳健的数据建模。主要职责包括:通过全面的基础设施管理(系统日志、存储、计算资源、批处理调度等)维护健康的数据仓库生态系统,确保数据集成并主动解决性能瓶颈;使用基于GCP托管Airflow的内部数据管道编排框架;与跨职能团队协作确定数据需求;维护平台架构、数据字典、基础设施配置和操作流程等文档;与最终用户合作理解需求并交付定制报告;提出可视化解决方案;设计报告专用数据集市以确保高性能仪表板;开发、维护和优化管道,包括DAG调度、数据摄取和ETL/ELT流程;验证并确保可视化所用数据的准确性、一致性和可靠性;使用现代数据可视化工具设计、构建和管理交互式报告。必备资格:计算机科学或相关领域学士学位或同等学历经验;3年以上数据工程(SQL)端到端经验及云或Linux系统运维经验;使用GCP(BQ、GCS)、Python和shell脚本开发和构建稳健数据仓库生态系统的经验;理解数据仓库/大数据概念、数据建模、批处理管道(ETL)和大数据量数据集成技术;具有创建和利用数据可视化平台(如DOMO、Tableau、MicroStrategy、PowerBI等)的实践经验;Git经验。优先资格:Atlassian工具(Confluence、Jira、BitBucket)经验;使用Airflow、Apache Kafka或Spark Streaming等工具处理流数据管道的经验;管理具有高SLO/SLA系统的经验;有效的沟通和项目管理技能;快速学习者、适应性强、致力于持续学习;强大的问题解决和解决方案创建思维;注重细节、追求卓越;"Can-Do"态度和接受新挑战的意愿;强大的团队合作和协作能力。

职位描述

Job Description: Department Overview The Data Platform Department (DPD) at Rakuten Group develops and maintains a comprehensive data platform, empowering over 70 Rakuten services with solutions for data ingestion, discovery, governance, analytics, and querying. We support data-driven decision-making across one of Japan's largest data ecosystems, providing the tools and infrastructure to support key domains such as Data Lakes, Data Warehouses, and Business Intelligence. Position: Position Details ・Hands-on design, development, testing, and implementation of scalable, cloud-based data warehouse solutions, optimized data pipelines, and robust data modeling ・Maintain a healthy data warehouse ecosystem through comprehensive infrastructure management (system logs, storage, compute resources, batch scheduling, etc.), ensuring seamless data integration and proactively addressing performance bottlenecks ・Internal Tooling: Adapt to and utilize Rakuten’s internal data pipeline orchestration framework, built on top of GCP-managed Airflow ・Communication: Collaborate with cross-functional teams to identify data requirements and align them with business objectives ・Documentation: Maintain comprehensive documentation, including platform architecture, data dictionaries, infrastructure configurations, operational processes and so on ・ Collaborate with Stakeholders: Work closely with end-users to understand requirements, gather feedback, and deliver impactful, customized reports ・ Solution Design: Propose and present visualization solutions to relevant stakeholders ・ Data Modeling & Mart Design: Architect reporting-specific data marts to ensure high-performance dashboards ・ Data Pipeline Management: Develop, maintain, and optimize pipelines, including DAG scheduling, data ingestion, and ETL/ELT processes to ensure data is "collected from" and "delivered to" efficiently and reliably ・ Data Quality Assurance: Validate and ensure the accuracy, consistency, and reliability of all data used in visualizations ・ Frontend Development: Design, build, and manage interactive reports using modern data visualization tools. Mandatory Qualifications: ・ B.S. in Computer Science, or a related field, or equivalent education and experience ・ 3+ years of end-to-end experience in data engineering (SQL) and operational experience in cloud-based or Linux systems ・ Experience in developing and building robust data warehouse ecosystems using Google Cloud Platform (GCP – BQ, GCS), Python, and shell scripting ・ Understanding of data warehouse/big data concepts, data modeling, batch-processing pipelines (ETL), and data integration techniques for managing large volumes of data ・ Hands-on experience creating and leveraging data visualization platforms (e.g., DOMO, Tableau, MicroStrategy, PowerBI, etc.) ・ Experience with Git Desired Qualifications: ・Experience with Atlassian tools (Confluence, Jira, BitBucket) ・Experience working on streaming data pipelines using tools such as Airflow, Apache Kafka, or Spark Streaming ・Experience managing systems with high Service Level Objectives/Agreements (SLOs/SLAs) ・ Effective communication and project management skills ・ Quick learner, highly adaptable, and committed to continuous learning ・ Strong problem-solving and solution-creation mindset ・ Detail-oriented and driven by excellence ・ A "Can-Do" attitude and willingness to embrace new challenges ・ Strong teamwork and collaboration capabilities #engineer #DataEngineer #technologyplatformdiv In Japanese, Rakuten stands for ‘optimism.’ It means we believe in the future. It’s an understanding that, with the right mind-set, we can make the future better by what we do today. So we challenge ourselves to evolve, innovate and experiment, to create a better, brighter future for everyone. Today, our 70+ businesses span e-commerce, digital content, communications and fintech, bringing the joy of discovery to almost 1.3 billion members across the world. If you have any trouble logging in, please contact us here Rakuten Group, Inc.: rakuten-recruiting-info@mail.rakuten.com *Please read the Application Requirements(EN) / 募集要é (JP) before applying. Our Diversity & Inclusion Policy and Application Documents Rakuten’s corporate mission is to “contribute to society by creating value through innovation and entrepreneurship.” We foster a culture that provides equal opportunities to those who share this founding philosophy and take on the challenge to transform society, regardless of age, gender, nationality, or any other status. Diversity is one of Rakuten's core strategies and a driving force for innovation. Because of this, you are not required to submit any of the following information in order to apply for our job positions. - Gender - Age - Photo - Nationality* - Information not related to business, such as ideological beliefs, family structure, etc. * For legal compliance, we may ask you about your work eligibility. See the details