Data Engineer

Job description

DESCRIPTION

The Kindle Content Risk Management team is looking for a highly driven, customer-obsessed Business Intelligence Engineer who will be responsible for supporting strategic, risk mitigation programs. The Business Intelligence Engineer will be responsible for complex analysis using multiple data sources while also understanding the operational, financial, and technical aspects of the programs they are supporting and the associated risk profiles they represent. You'll analyze large amounts of data, discover and solve real world problems, build metrics and business cases around key Kindle projects and, most of all, be an integral part of creating a better customer experience.

You have to be a self-starter, comfortable with ambiguity, with strong attention to detail and passion for data, and an ability to work in a fast-paced and ever-changing environment. It's a big ask, and we're excited to talk to those up to the challenge!

Key Responsibilities includes:
· Retrieving and analyzing data using SQL, Excel, and other data management systems
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· Reactively and proactively developing and executing analyses that provide important insight into the business
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· Designing and implementing data engineering and self-service reporting solutions that enable stakeholders to manage the business and make effective decisions
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· Monitoring existing metrics and partnering with internal teams to identify process and system improvement opportunities

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Desired profile

BASIC QUALIFICATIONS

*Bachelor's degree or higher in Business, Economics, Engineering, Statistics, Mathematics or a related field
*Minimum 3 years of analysis experience required in data science, business analytics, business intelligence (BI), or comparable experience in other big data environments.
*Strong proficiency in SQL, Data modeling and ETL using non-relational sources (like Hadoop, EMR), and relational databases (like Redshift, Oracle)
*Microsoft Excel experience.