Amazon Data Engineer Amazon Devices-Demand Planning 

United States, Washington, Bellevue 

329663354

Key job responsibilities
• Design and implement scalable extract, transform, and load (ETL) processes.
• Manage and maintain large datasets, production pipelines and jobs that that feed into or from critical demand forecasting models and reporting.
• Work closely with senior engineers to drive data architecture for Devices Demand Planning.
• Collaborate with product managers, data scientists and engineers to continually improve ongoing processes and to develop and improve the current data architecture, data quality, and data availability.
• Manage and execute against project plans and delivery commitments.
• Manage data infrastructure including AWS resources like S3, Redshift, Glue, etc.
• Make recommendations to improve performance and/scalability either through updates based on a technical need or through innovation.

- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.