Data Engineer, Prime Video
Culver City, California, USA
Amazon.com
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Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contribute to customer loyalty and lifetime value. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos.
Our Content Analytics team helps Prime Video make decisions about what content to acquire for our customers by creating world-class data products, supporting content-licensing deal evaluations, and performing data analysis for content strategy and decision support. We are looking for a Data Engineer to help us innovate on behalf of the Prime Video customer by developing complex data structures, integrating new data signals and working with machine-learning scientists to build robust forecasting tools.
In this role, you will:
· Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics in support of Prime Video content analytics.
·
· Implement data structures using best practices in data modeling, ELT processes, and SQL, Redshift, and AWS technologies.
·
· Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
·
· Analyze new signals of content demand, and work with source teams or 3rd party sources to integrate such signals into reporting and predictive modelling .
· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
· 5+ years’ experience in Datanet or other ETL technologies
· 5+ years’ experience in Tableau including advanced dashboarding
· 3+ using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
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 Content Analytics team helps Prime Video make decisions about what content to acquire for our customers by creating world-class data products, supporting content-licensing deal evaluations, and performing data analysis for content strategy and decision support. We are looking for a Data Engineer to help us innovate on behalf of the Prime Video customer by developing complex data structures, integrating new data signals and working with machine-learning scientists to build robust forecasting tools.
In this role, you will:
· Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics in support of Prime Video content analytics.
·
· Implement data structures using best practices in data modeling, ELT processes, and SQL, Redshift, and AWS technologies.
·
· Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
·
· Analyze new signals of content demand, and work with source teams or 3rd party sources to integrate such signals into reporting and predictive modelling .
Basic Qualifications
· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
Preferred Qualifications
· Proven communication (verbal and written) and interpersonal skills· 5+ years’ experience in Datanet or other ETL technologies
· 5+ years’ experience in Tableau including advanced dashboarding
· 3+ using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
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.
Tags: AWS Big Data Business Intelligence Computer Science Data analysis Data Warehousing EC2 ELT Engineering ETL Mathematics Pipelines Redshift SQL Streaming Tableau
Perks/benefits: Career development
Region:
North America
Country:
United States
Job stats:
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Category:
Engineering Jobs
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