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Amazon Sr Data Engineer Contact Forecasting 
United States, Washington, Seattle 
221425733

10.06.2024
DESCRIPTION

As a Data Engineer of Forecasting, you will be responsible to design, implement, and support key datasets that provides structured and timely access to actionable business information with the needs of stakeholders always in view. You will collaborate with analysts, research scientists, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions. You will help drive the architecture and technology choices that enable a world-class user experience. You will develop a broad range of new big data technologies to solve business problems and know when, how, and which to use and which not to use. You will encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions. You will continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. You will participate in developing technical strategy for turning data into actionable information and develop complex queries for ad hoc requests and projects, as well as ongoing reporting. You will optimize the performance of business-critical queries and dealing with ETL job-related issues. This is a high impact role with goals that directly impacts the bottom line of the business. Accurate forecasts drive improvements in cost and quality of our customer service on a global scale.
A day in the life
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

BASIC QUALIFICATIONS

- 7+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices


PREFERRED QUALIFICATIONS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses