Data Engineer（ PSR-8356)

A Global IT Service firm is seeking a Data Engineer .

Responsibilities:
a.Data Engineering & Infrastructure:
- 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.

b. Data Visualization & Analytics:
- 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.


Required Skills:
- 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.
 

Why should you apply:
-    This is a long-term opportunity with a chance to become a permanent employee
You will be working with international team members
-    Free lunch at the cafeteria


Company Overview: This is a global company with a strong presence in multiple business sectors. It has achieved sustained growth both domestically and internationally, including in the U.S. and Europe. The company prides itself on its diverse and international environment, providing ample career opportunities and a commitment to equal opportunity. With a wide range of business activities, the company also works with various technologies. You can choose your preferred working environment, whether Windows or Mac! Meals at the employee cafeteria are free, and the chef regularly comes up with new menus, ensuring you never get bored of the meals!

Work Hours: 9:00 AM – 5:30 PM (Flextime or staggered working hours possible)
Work Style: Hybrid (Typically 4 days in the office, 1 day working from home)
Holidays: Saturdays, Sundays, public holidays, New Year holidays, paid leave, bereavement leave, and other special leave
Benefits: Full social insurance (employee pension insurance, health insurance, worker’s accident compensation insurance, unemployment insurance), DC pension plan, transportation allowance, childcare and caregiving support, cafeteria, retirement benefit system, welfare services (Relo Club), health counseling services, relocation support (visa support, moving), employee discounts (moving, language classes, etc.), and more
Interview Process: 3~4 times