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Data Engineer II, Prime Video's Content Data Platform

Amazon.com
United Statesfull_timeVerifiedPosted 26 Jun 2023
💰 $205,600/yr($105,700/yr$205,600/yr)

About the role

Prime Video is changing the way millions of customers interact with video content. Our team delivers high-quality video to Amazon customers through subscriptions (Amazon Prime) as well as purchases and rentals.

We are looking for talented data engineer to help us build Prime Video next-gen Data Platform to power all off-line and online data applications. Do you want to both help us change the way we serve recommendations to customers and simultaneously accelerate the development of cutting-edge ML models that understand what customers will want to watch. Do you want to help Prime Video provide the most personally engaging viewing experiences? Then, our team is for you.

**This role can be based in the Seattle or LA office.**



Key job responsibilities
A Data Engineer in Content Data Platform is responsible for developing, maintaining, enhancing Prime Video’s Supply Chain data based datasets which are used for Analytics, Machine learning models and Operational use cases. Additionally, they must build and manage the platform for building these datasets and improve core infrastructure for Analytics applications.

We source data from different teams with different tech stack (Dynamo DB, Dynamo DB Streams, S3, different file formats, Kinesis streams). Data Engineers will determine the appropriate data model for, end-to-end data flow and design, development of data pipelines.

Basic Qualifications


  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

Preferred Qualifications

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  • Experience with Redshift, Oracle, NoSQL etc.
  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  • Experience with distributed systems as it pertains to data storage and computing


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

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Company

Amazon.com

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