Amazon Japan is seeking a talented Data Engineer to join their WWSNA team, working on one of the world's largest and most complex data warehouse environments. This role offers an exciting opportunity to make a significant impact on Amazon's data infrastructure and business operations.
The position involves designing and implementing scalable data solutions for Amazon's Inbound & Outbound Transportation business. You'll be working with cutting-edge technologies and AWS services, creating robust data pipelines that power critical business decisions. The role requires expertise in Python, Airflow, and SQL, along with experience in AWS services including Redshift, Glue, S3, and CloudWatch.
As part of the S&A (Standardization & Automation) team, you'll be contributing to a vision where technology truly enables Finance through automated planning and data-driven decision making. The team believes in driving efficiency through standardization and automation, measuring success through tangible time savings for customers.
The ideal candidate will combine technical expertise with strong business acumen and communication skills, as you'll be collaborating with business owners, Product teams, and Tech leaders to gather requirements and deliver solutions that meet business needs. This role offers the opportunity to work with diverse data sources, implement complex data models, and build scalable solutions that impact Amazon's global operations.
Working at Amazon means being part of a company that values innovation, long-term thinking, and customer obsession. You'll have access to world-class resources and the opportunity to work with some of the brightest minds in the industry. The role offers exposure to complex technical challenges while delivering meaningful business impact.
If you're passionate about data engineering, have a proven track record of building scalable data solutions, and want to be part of a team that's reshaping how one of the world's largest companies handles data, this role presents an excellent opportunity for career growth and impact.