Data Engineer - Amazon Lending (ABP)

Over the past 20 years, Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers in the world. Amazon is now reinventing on behalf of the business customer and is building the most innovative Business-to-Business (B2B) online store in the world.

Our B2B customers have different needs than the traditional Amazon customer so we are reinventing everything from how we display our selection, price our products, and provide business friendly credit solutions.

We are building scalable systems that make data-driven credit decisions and manage our risk. 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 into new countries and customer segments. 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.

Basic Qualifications

· Bachelor’s degree in computer science, engineering, mathematics, or a related technical discipline
· 2+ 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

Preferred Qualifications

· 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
Amazon is an equal opportunity employer