Data Engineer, Japan Operations - Emerging Markets
DESCRIPTION
Do you want to help reinvent how Amazon does Supply Chain in Japan, Mexico, Brazil, India, and more? Do you want to be involved in optimizing all segments of fulfilment, from inventory planning to the customer's doorstep?
Amazon's ARTS team is looking for a Data Engineer to assist the creation and modernization of regional tooling. This includes building data pipelines and platforms to empower BIEs and business users to make strategic decisions. This is an expansive role that spans multiple regions and fulfilment business areas.
We make work/life harmony a priority. As long as required meetings are attended during standard working hours and work is completed, employees are free to define their own hours. Amazon also offers other programs, such as maternity and paternity leave.
Key job responsibilities
Your primary responsibilities are designing, developing, and maintaining data pipelines and platforms, enabling stakeholders to manage the business and make effective decisions. You may build data pipelines from scratch or using existing systems. You will also create plugins for low-code and RPA systems to enable BIEs to move fast. You will work with other data engineers and software development teams when their expertise is required. You need to be a self-starter comfortable with ambiguity and have an ability to work in a fast-paced and entrepreneurial environment.
A day in the life
An average day may look like:
- Attend daily standup
- Build a data pipeline using AWS technologies such as Amazon RedShift and AWS Glue
- Build a new plugin using C# for RPA use by BIEs
- Keep up to date with dedicated learning time
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, or related fields
- Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
- Experience with data modeling, warehousing and building ETL pipelines
- Speak, write, and read fluently in English
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
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