Data Engineer II, APEX-RoW Technology Solutions

Are you passionate about working with data and eager to make broad business impact in the rapidly evolving e-commerce business Are you interested in building data and science solutions to drive strategic direction Based in Tokyo the Amazon ARTS (APEX-RoW Technology Solutions) team designs builds operates and scales the data infrastructure powering Amazon Operations across RoW (the rest of the world excl. NA and EU) countries. Working with a diverse global team serving customers worldwide you can make a significant impact while continuously learning and experimenting with cutting-edge technologies. The ideal data engineer thrives on working with large-scale data excels in highly complex technical environments and above all has a passion for data.

You will contribute to the ML and data platform which enables various ML and analytical solutions for Amazon Japan. Leveraging your deep experience in data infrastructure and passion for enabling data-driven business impact you will work closely with software development engineer business intelligence engineers and business teams to identify and implement strategic data opportunities.

Key job responsibilities
Your key responsibilities include:

- Build ML and data solutions with AWS services such as Redshift S3 Glue Lambda SageMaker CloudWatch etc.
- Design and implement of data pipelines and ETL processes to support operational needs.
- Develop and improve the operational excellence data quality monitoring and data governance.
- Contribute to the development of data governance policies and procedures.
- Troubleshoot and resolve data-related issues in production environments.


A day in the life
An average day may look like:

- Attend daily standup to give status updates
- Monitor maintain and optimize the team data infra health and performance
- Develop script to automate maintenance of the team data infra
- Learn about a new business intelligence technology and AWS services

About the team
The Amazon ARTS (APEX-RoW Technology Solutions) team is responsible for creating core analytics tech capabilities and data engineering services for RoW (the rest of the world excl. NA and EU) countries. It comprises of platforms development research science software development and data engineering. ARTS develops scalable analytics applications and research modeling to optimize operation processes. The team standardizes and optimizes data sources and visualization efforts across geographies builds up and maintains the online BI services and data mart.
At ARTS data engineers data scientists business intelligence engineers and product managers use rigorous quantitative approaches to ensure that we target to provide high quality data tech products to our customers around the world including India Japan Australia Brazil Mexico Singapore Turkey and MENA.

- Bachelors degree in computer science engineering mathematics or equivalent or Masters degree
- 3 years of data engineering experience
- 3 years of data warehouse technical architectures data modeling infrastructure components ETL/ ELT and reporting/analytic tools and environments data structures and hands-on SQL coding experience
- Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
- Knowledge of data warehousing and data modeling
- Knowledge of SQL
- Bachelors degree in computer science mathematics statistics machine learning or equivalent quantitative field or experience in Python Perl or another scripting language
- Speak write and read fluently in English

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience leading and influencing your team or organization
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Experience in software engineering - agile processes coding standards/reviews source control CI/CD testing deployment and production operations.

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