Business Intelligence Engineer, APEX-RoW Technology Solutions
Amazon - Tokyo, JPN
Posted Feb 17, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
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- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
Business Intelligence Engineer, APEX-RoW Technology Solutions Tokyo, JPN The Amazon ARTS (APEX-RoW Technology Solutions) team is looking for a Business Intelligence Engineer to optimize in one of the world's largest and most complex data warehouse environments. You are expected being passionate about working with huge database and someone who loves to bring datasets together to create dashboards and business reports. You are required to have deep expertise in creation and management of datasets and optimization of database. You should be expert at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. You are required to have excellent business and communication skills to be able to work with business stakeholders to develop business report/dashboard and to support building data pipeline. You will own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training. This role offers an opportunity to make a significant impact on our organization's data infrastructure while working with new technologies and collaborating with diverse teams across RoW (the rest of the world excl. NA and EU) countries. Key job responsibilities The role is responsible to drive large cross team programs with limited guide from manager: 1) optimize user's data pipeline and SQL and database infrastructure across RoW; 2) help business stakeholders to provide data pipeline solutions with Amazon/ARTS internal tech products and AWS services (e.g. Redshift, SageMaker, EMR, ETL tools, data
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