Amazon Data Engineer GMAC Economics 

United States, California 

778120581

Key job responsibilities
As a Data Engineer, you will/may:Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sourcesDesign data schema and operate internal data warehouses and SQL/NoSQL database systemsMonitor and troubleshoot operational or data issues in the data pipelinesDrive architectural plans and implementation for future data storage, reporting, and analytic solutionsA day in the life
You'll spend most the day coding, possibly writing or testing Spark jobs, updating our reusable python libraries, or tweaking an Apache Airflow graph.
1) productionize science prototypes into well tuned, scaled systems2) support and improve data infrastructure for scientists to quickly prototype new ideas and models.You'll be working closely on your projects not just with other data or software engineers, but with Business Intelligence Engineers, Economists, and Data Scientists.

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