Job Description

The role is to build and optimize scalable data platforms handling large-scale datasets and advanced analytics workflows. The role involves working closely with cross-functional teams to enhance data accessibility, improve platform efficiency, and support AI-driven initiatives through modern data engineering practices.

Key Responsibilities:

• Build and enhance large-scale batch and real-time data processing workflows using modern big data technologies. 
• Create efficient and scalable data structures that support accurate reporting and optimized query performance. 
• Coordinate with internal technical teams to improve data accessibility, organization, and usability across platforms. 
• Support AI-focused initiatives by preparing reliable data pipelines and feature-ready datasets for intelligent systems. 
• Drive improvements in overall data platform architecture while following strong engineering and coding standards. 

Requirements:

• Minimum 3 years of experience working with data systems and cloud-based engineering environments. 
• Strong capability in building and optimizing high-throughput data workflows using modern distributed processing technologies. 
• Experience in Python, Scala, or Java for developing reliable and scalable backend data solutions. 
• Familiarity with query optimization, automated data operations, and tools used for managing end-to-end data workflows.
• Japanese skill: Basic
• English skill: Business