Sr. Data Engineer, Amazon Freight

Amazon • Bellevue, WA

4d

About The Position

Amazon Freight is a startup business within Amazon focused on developing an
industry-leading transportation offering to provide external freight Customers
access to the world-class network and freight services currently used to
facilitate Amazon’s own freight movements. Our freight offerings/portfolio
ensures our Customer’s freight is moved with the highest level of service and
quality at a competitive price across multiple modes of transportation,
including truckload, less-than-truckload, and intermodal. In doing this, Amazon
is deeply studying customer shipping needs and building innovative,
market-leading solutions that will organically attract customers towards our
services.

As a Sr. Data Engineer in Amazon Freight Data Analytics team, you will
· Build robust and scalable data integration (ETL) pipelines using SQL, EMR,
Python and Spark.
· Build and deliver high quality data architecture to support business
intelligence engineer and program managers’ reporting needs.
· Interface with other technology teams to extract, transform, and load data
from a wide variety of data sources.
· Drive both business and technology solutions to improve Amazon Inbound
visibility.
· Continually improve ongoing reporting and analysis processes, automating or
simplifying self-service support for customers.
· Translate data into actionable insights for the stakeholders.

Requirements

• 5+ 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

Nice To Haves

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

Responsibilities

• Build robust and scalable data integration (ETL) pipelines using SQL, EMR, Python and Spark.
• Build and deliver high quality data architecture to support business intelligence engineer and program managers’ reporting needs.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
• Drive both business and technology solutions to improve Amazon Inbound visibility.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
• Translate data into actionable insights for the stakeholders.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed