Data Engineer, AWS

Job description

DESCRIPTION

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and visionary people. We are looking for a highly analytical Data Engineer to join the Capacity Delivery Planning and Analytics team.

We are looking for an innovative, hands-on and customer-obsessed data engineer who can be a strategic partner to the product managers and other engineers on the team.

Our projects span multiple organizations across AWS Infrastructure and require coordination of multiple data sources, teams, and infrastructure.

In this role, you will be a technical expert with massive impact. You work tightly with other data engineers and business intelligence engineers on our team to create the data infrastructure and pipelines to drive our analytics and visualization projects from initial experimentation to production level deployment. Your work will directly impact the success of Amazon's fast - growing data center business. You will work across diverse science/engineering/business teams. You will work on critical data engineering problems, building unique high quality reliable, accurate, consistent, and architecturally sound data sets that are aligned with our business needs.

Responsibilities:
· Design, implement and support an analytical data infrastructure
· Manage AWS resources including EC2, EMR, S3, Glue, Redshift, etc.
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
· Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
· Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
· Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

PREFERRED QUALIFICATIONS

· Experience working with AWS big data technologies (Redshift, S3, EMR)
· Demonstrated strength in data modeling, ETL development, and data warehousing
· Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Desired profile

BASIC QUALIFICATIONS

· Degree in computer science, mathematics, statistics, economics, or other quantitative fields.
· 3+ years of industry experience in software development, data engineering, business intelligence, data science, or related field
· 3+ years data modeling, ETL development, and data warehousing experience
· Experience in one or more of: Python, R or other scripting language
· Knowledge of data management fundamentals and data storage principles