Data Engineer

Job description

DESCRIPTION

Safety and Compliance Team within Amazon Product Assurance, Risk & Security (PARS) – Safety team powers the physical engine at the heart of Amazon. PARS builds and operates the software, responsible for ensuring the safety of our customers along with regulatory compliance. We are constantly innovating in the ways we can automate and accelerate safety and compliance processes and procedures using state of the art technologies.

With the scale and growth of Amazon, the Safety and Compliance team is doing extraordinary work to protect our customers, business partners, transportation systems and environment. Our research and technology teams are able to keep illegal, dangerous and recalled products out of the reach of customers. We are working towards reducing the carbon footprint and being socially responsible at a global level. We use Large Scale Distributed Processing, OO technologies, Big Data, IoT, Machine Learning, Natural Language Processing and Risk Modeling to solve the some of the most complex problems to protect and delight our customers.

Amazon is seeking a truly innovative Data Engineer to join the PARS Team.

As an Amazon Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. We need to source data to our systems out of complex internal and external data sources using a disparate set of technologies.

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

PREFERRED QUALIFICATIONS

· Previous experience with Linux
· Experience with multiple database platforms
· Experience working with and sourcing data for Data Scientists
· Familiar with computer science fundamentals including object-oriented design, data structures, algorithm design, problem solving, and complex analysis

Desired profile

BASIC QUALIFICATIONS

· Degree in Computer Science or related field
· 4+ years professional experience in database development, handling large data sets using SQL and databases in a business environment
· Must be proficient with Oracle/SQL Server/ Redshift/Tera data
· Familiar with ETL and DW processes
· Prior experience with Scala, Python or Java
· Strong troubleshooting and problem solving skills