Data Engineer, Amazon Business

Job description

DESCRIPTION

Amazon Business is one of Amazon's fastest growing new initiatives focused on building solutions to enable business customers to research, discover and buy business, industrial and scientific products in large catalogs; across multiple devices, marketplaces and regions. Our customers include individual professionals, businesses and institutions that buy in either high frequency or in bulk quantities. Our customers have different and frequently more complex needs than the traditional Amazon customer base.

As a DE on the team, you will develop reliable data workflows to make the B2B use cases intelligent. You will build and leverage customer profile, user and organization attributes and their relationships, to offer personalized and differentiated experiences to AB customers. You will have to work across the AB domain and diverse set of teams and enable them to leverage customer profiles. You will have an opportunity to learn from seasoned engineers and learn/practice cutting edge technologies. We are looking for passionate data engineers who are hungry for impactful work and willingness to experiment and learn.

The ideal candidate will have experience working with large datasets, distributed computing technologies and service-oriented architecture. The candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. He/she is an expert with data modeling, ETL design and business intelligence tools, has hand-on knowledge on columnar databases such as Redshift and other related AWS technologies. He/she passionately partners with the customers to identify strategic opportunities in the field of data engineering. He/she is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)
· 2+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics
· 2+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets
· Demonstrable experience in scripting languages (Python, Perl, Ruby) and Excel
· Demonstrated strength in data modeling, ETL development, and Data warehousing
· Experience with Tableau, Matillion, and AWS services (Redshift, S3, AWS Glue, EMR, DynamoDB)
· Knowledge of distributed systems as it pertains to data storage and computing
· Passionate about the entertainment industry
· Works well individually or in a team, driving things forward even in the face of ambiguity and imperfect data