Data Engineer - Amazon Studios Research

Job description

DESCRIPTION

---Thinking Big---
Do you want to help shape the future of television using your data skills? Amazon Studios' unique approach is disrupting the entertainment industry with fan and award favorites like The Marvelous Mrs. Maisel, Jack Ryan, The Man in the High Castle and so many others.

With a passion for all things television and transformative data insights, Amazon Studios Research has built and continues to evolve a robust platform that predicts, models and tracks success at every stage of production: from concept, through release and beyond. The Research team is uniquely situated at the crossroads of creativity, data-driven decisions, customer experience and statistical analytics.

The tools you build will help drive and define the future of television and movie content for millions of customers around the world.

---Ownership: Insisting on the Highest Standards---
As a Data Engineer, you will be architecting, building and supporting the analytic technologies that give internal customers timely, flexible and structured access to their data as a means to optimize marketing, scheduling and show development. You will interact with team members and internal customers to gather requirements and build robust and secure data flows. You will also own the design, creation, and management of extremely large datasets. You will be designing, implementing, and operating stable and scalable solutions.

Excellent written and verbal communication skills are a must as the candidate will work closely with teams of diverse skills, mindsets and backgrounds. Amazon Data Engineers are capable of much more than just thinking in terms of lines of code.

The position is located in beautiful Santa Monica, California.

Desired profile

BASIC QUALIFICATIONS

· 3+ years of data engineering or related experience (Data Science, Business Intelligence)
· Firm grasp of relational database models, aggregate and analytic functions, as well as database and query optimization methods
· Ability to design, develop and automate scalable ETL and reporting solutions that transforms data into accurate and actionable business information
· Comfort in working with business customers to gather requirements and gain a deep understanding of varied datasets
· Expertise in the design, creation, management, and business use of extremely large datasets
· Comfort with command line operations including authoring, executing and maintaining bash scripts