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Manager, Data Engineering, Amazon Japan Store

Amazon
London
1 week ago
Applications closed

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Manager, Data Engineering, Amazon Japan Store

Amazon Japan Store is looking for a Data Engineering Manager to transform and optimize high-scale, world class AI-based data systems that power the JP Store business. The success of these systems will fundamentally impact the productivity of Amazon Japan and international Stores.

This position will play an integral role in leading programs that impact multiple Amazon Store new product development and productivity improvement initiatives. These programs will involve multiple development teams across diverse organizations to build sophisticated, highly reliable data systems. These systems enable routine data operations as well as machine learning, analytics, and GenAI reporting that enable Amazon Store to optimize profitability and free cash flow.

This position requires a proactive, highly organized individual with an aptitude for data-driven decision making, a deep curiosity for learning new systems, and collaborative skills to work with both technical and product teams.

BASIC QUALIFICATIONS

- 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5+ years of data engineering experience
- Experience managing a data or BI team
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

PREFERRED QUALIFICATIONS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
- Knowledge of software development life cycle or agile development environment with emphasis on BI practices

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.


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