Data Engineer – Amazon Lending


Job Overview


Amazon Lending is an exciting program designed to help provide our customers with funds to grow their businesses. We take pride in building scalable, automated systems. We are looking for a talented and passionate data professional that can develop a reliable, scalable, and analytic infrastructure to drive customer acquisition and track portfolio performance as we expand.

We believe we are in a unique position to serve our customers with exceptional value, coupled with our data-grounded analytic and customer-focused approach to building products.

A successful candidate will be innovative, technically versatile, and be able to interact with customers to gather requirements and deliver the right set of data to support business growth.

The key strategic objectives for this role include:
a) Innovating to deliver mission-critical near real-time data feeds to optimize the business.
b) Delivering a robust, flexible, and scalable data analytics environment to support Amazon Lending as it grows deeper in its existing lines of business and expands
c) Collaborate with technical teams, legal, finance, operations, and product managers to drive process improvement and track progress against goals.


· Bachelor’s degree in computer science, engineering, mathematics, or a related technical discipline
· 4+ years of experience as a Data Engineer, BI Engineer, Business/Financial Analyst or Systems Analyst in a company with large, complex data sources
· Experience providing technical leadership and mentoring other engineers for best practices on data engineering
· Expertise in SQL, DB and storage internals, SQL tuning, and ETL development
· Ability to work and communicate effectively with developers and Business users
· Strong organizational and multitasking skills with ability to balance competing priorities
· 2+ years of experiences scripting languages such as Python, Scala, Perl, etc.
· Data engineering fundamentals in data set design and architecture


· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
· Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, and testing
· Experience with AWS technologies (EMR, Dynamo, RDS, Redshift, Athena, S3)
· Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy

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