Amazon Data Engineer Ops Finance Transportation 

United States, Washington, Bellevue 

201046127

Key job responsibilities
- Develop end to end scalable data infrastructure and data pipelines
- Develop data products, deploy highly performant solutions, build data infrastructure leveraging AWS services (such as EC2, Redshift, EMR, Lambda, Quicksight etc.)
- Improve existing solutions and recommend data architecture to improve scale, quality, timeliness, coverage, monitoring and security.
- Develop new data models and end to data pipelines.- Design, implement, and support a platform providing secured access to large datasets.
- Interface with controllership customers, gathering requirements and delivering complete data solutions.
- Develop ETL pipeline that links various datasets that could serve the analysis objectives in the most efficient way
- Analyze and solve problems at their root, stepping back to understand the broader context.
A day in the life
Work with the largest dataset in logistics management in the world to drive business insights, support operations and build analytical solutions for partners which can help drive cost control and decision making. As a Data Engineer, you will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models, Gen Ai and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies.About the team
Trans Controllership in Finance is one of the most challenging and exciting spaces to work for, with new geographies, new modes and new carriers being launched every day and being required to seamlessly integrate with the Transportation technical systems for automatic Ingestion of Freight invoices, thorough auditing, timely payment and for proper accounting to keep our books clean and accurate.

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines