Amazon Data Engineer Modeling Optimization 

United States, Washington, Bellevue 

177260446

In this role, you will drive the development of data engineering solutions from initial experimentation to production level deployment, including the followings. Identify gaps and improvement opportunities in existing data infrastructure. Design, implement, and maintain a cutting-edge cloud-based data-infrastructure for large data-sets. Migrate existing data pipelines to your newly developed solutions. Create and manage large datasets by extracting, transforming, combining, and loading data from various heterogeneous data sources. Maintain data integrity, availability, and auditability. Manage AWS resources. Drive the adoption of new technologies and new best practices.Key job responsibilities
A day in the life
Build data infrastructure and data reports that will provide high-level as well as detailed views to leaders in Amazon Operations about key metrics and provide uninterrupted data access to research scientists in MOP team for key initiatives. You will also build and maintain our website to create interactive map-based view of these metrics to monitor the health of our supply chain.

- 3+ years of data engineering experience
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Redshift, Oracle, NoSQL etc.