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Data Engineer - Amazon Studios - Santa Monica

Data Engineer - Amazon Studios - Santa Monica

Job ID 
544395
Location 
US-CA-Santa Monica
Posted Date 
6/5/2017
Company 
Amazon Corporate LLC
Position Category 
Business Intelligence
Recruiting Team 
..

Job Description

Develop and Hire the Best
Want to help shape the future of television using your data engineering skills? Amazon Studios unique approach is disrupting the entertainment industry with fan and award favorites like Transparent, The Man in the High Castle, Catastrophe, Bosch and many others. With a passion for all things television and transformative data insights, Studios Research is building a robust platform to track, model and predict success at every stage of production, from concept through release.

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 also own the design, creation, and management of extremely large datasets. You will interact with team members and internal customers to gather requirements and build robust and secure data flows. You will be designing, implementing, and operating stable and scalable solutions. The data tools you build will help drive and define the future of television for millions of customers around the world.

Excellent written and verbal communication skills are required as the candidate will work very closely with teams of diverse skillsets. The data tools you build will help drive and define the future of television for millions of customers around the world.

The position is located in Santa Monica, California.


Responsibilities include:
  • Research and identify new data sources to supplement existing data inventory
  • Develop accurate, efficient and scalable data pipelines
  • Analyze, support and improve existing data pipelines, Redshift cluster and data repositories
  • Research and experiment with emerging technologies
  • Meet and collaborate with business users on requirements, objectives and measures

Basic Qualifications

  • 3+ years of data engineering experience.
  • Firm grasp of relational database models, including aggregate and analytic functions, as well as database and query optimization methods
  • Direct experience with non-relational processing technologies such as Spark, Hive, Python
  • Experience with AWS tools including Redshift, S3, Elastic MapReduce (EMR), Elastic Cloud Compute (EC2)
  • Design and Develop scalable ETL and reporting solutions that transforms data into accurate and actionable business information
  • Interface with business customers, gathering requirements and gaining a deep-dive understanding of key 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




Preferred Qualifications



  • Familiarity with AWS administrative tasks including managing access, permissions and roles
  • Experience with security methodologies related to encryption, authentication and threat modeling
Amazon firmly believes in equal employment opportunity for all and the importance of each associate as an individual. It is the policy of Amazon that there will be no discrimination against any associate or applicant for employment on the basis of race, religion, creed, color, national origin, citizenship, marital status, sex, age, sexual orientation, gender identity, veteran status, political ideology, ancestry, the presence of any physical, sensory, or mental disabilities, or other legally protected status.