Tokyo Amazon Japan G.K. Full time

About the Role

We are seeking a senior data engineer to join our Data Services and Technologies team in Tokyo, Japan. The ideal candidate will be passionate about working with data and eager to make a broad business impact in the rapidly evolving e-commerce industry.

As a key member of our team, you will lead the development of data solutions to optimize Amazon's retail operations in Japan, turning business needs into robust data pipelines and architecture.

Key Responsibilities

  • Create data solutions with AWS services such as Redshift, S3, EMR, Lambda, SageMaker, and CloudWatch.
  • Implement scientific and economic models by developing robust and scalable data architectures.
  • Develop and improve operational excellence, data quality, monitoring, and data governance.

BASIC QUALIFICATIONS

  • Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline.
  • 5+ years of experience as a Data Engineer or in a similar role.
  • 5+ years of experience with data modeling, data warehousing, ETL/ELT pipelines, and BI tools.
  • Experience with cloud-based big data technology stacks (e.g., Hadoop, Spark, Redshift, S3, EMR, SageMaker, DynamoDB).
  • Knowledge of data management and data storage principles.
  • Experience in at least one modern object-oriented programming language (Python, Java).
  • Business level English (written and verbal).

PREFERRED QUALIFICATIONS

  • Experience working with AWS technologies (e.g., Lambda, CloudWatch, QuickSight, Athena, RDS, etc.).
  • Experience in MLOps, generative AI, large language models (LLMs), and collaborating with data science teams.
  • Experience providing technical leadership and mentoring other engineers on best practices for data engineering.
  • Experience in software engineering - agile processes, coding standards/reviews, source control, CI/CD, testing, deployment, and production operations.
  • Proficiency in Japanese language (verbal and written).

Compensation

The salary information can be provided individually prior to the 1st interview.



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