Business Intelligence Engineer, Web Services Security

Job description

DESCRIPTION

Do you love data? Do you get a thrill out of solve complex problems using new and innovative technologies? How would you like to use data protect Amazon and its Customers?

As Amazon has grown, it has become an attractive target for malicious organizations that attempt to game Amazon’s services for financial gains. Have you ever thought about what it takes to protect Amazon’s businesses across all of the different continents it operates in? Amazon is looking for engineers who are passionate about providing exceptional products and services, think globally, and have the ability to innovative on behalf of Amazon and its customers.
You will work closely, hand in hand with software engineering and machine learning teams. We are constantly innovating, finding new ways of building massively scalable distributed systems. We set a high bar to build and deliver highly secure, highly available, and highly scalable systems. We are passionate about our customers, those inside Amazon and those outside of it, and work on their behalf.
We’re looking for passionate individuals who want to join us to protect Amazon and its customers.

PREFERRED QUALIFICATIONS

· Master’s degree in Computer Science, Mathematics, Information Systems or related field.
· Familiarity with Redshift, Hadoop, etc.
· Proficiency with at least one statistical software package (e.g. R, SPSS).
· Proven capability in statistical analysis (e.g., ability to conduct analyses using regression, modeling, forecasting approaches, and related tools).
· Experience with Machine Learning Techniques to Understand Data Patterns and Make Predictions.
Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

Desired profile

BASIC QUALIFICATIONS

· Bachelor’s degree in Computer Science, Mathematics, Information Systems, or a related field.
· Experience in data transformation through SQL and Excel.
· Experience with data visualization tools such as Tableau, QuickSight, MicroStrategy, etc.
· Experience working with large-scale, complex datasets.
· Demonstrated strength in data modeling, ETL development, and Data warehousing.
· Strong verbal/written communication skills.