Data Engineer
Job Summary
The Data Engineer will design, develop, and maintain scalable data pipelines to support enterprise-level data integration. You will collaborate with technical teams to optimize data workflows and ensure data availability using modern cloud technologies. The role requires strong expertise in SQL, Python, and Google Cloud Platform (GCP).
Responsibilities
- Design and maintain scalable data pipelines
- Support multi-system data integration
- Optimize data workflow performance
- Ensure data quality and availability
Required Skills
- SQL and Python proficiency
- Google Cloud Platform (GCP) experience
- Data pipeline development
- Native Japanese & Business English
Job Details
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines.
• Support data integration and processing activities across multiple systems.
• Optimize data workflows to improve performance and reliability.
• Collaborate with technical teams to ensure data quality and availability.
• Contribute to data engineering initiatives using modern cloud technologies.
Job Requirements:
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience working with SQL and Python.
• Knowledge of Google Cloud Platform (GCP).
• Experience building and maintaining data pipelines.
• Experience working with SQL for data extraction, transformation, and analysis.
• Proficiency in Python for data engineering and automation tasks.
• Hands-on experience with Google Cloud Platform (GCP).
• Understanding of data pipeline development and maintenance.
• Japanese skills: Native.
• English skills: Business English Level (TOEIC 735-860).