Data Engineer Prime Video Content Analytics Products
Data Engineer Prime Video Content Analytics Products
Posted on :
07-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television Do you want to define the next generation of how and what Amazon customers are watching
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to addon channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fastpaced growth business available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you please read on.
The Prime Video Content Analytics and Products (PVCAPs) team is looking for an experienced Data Engineer.
The ideal candidate thrives working with large volumes of data enjoys the challenge of highly complex technical contexts and is passionate about data and analytics. The candidate is an expert within data modeling ETL design and cloud/bigdata technologies and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates largescale business impact. The candidate should be a selfstarter; comfortable with ambiguity able to think big and enjoy working in a fastpaced and global team. Its a big ask and were excited to talk to those up to the challenge!
Key job responsibilities
Build and optimize data pipelines to ingest and transform data from various sources including traditional ETL pipelines and event data streams.
Utilize data from disparate sources to build meaningful datasets for analytics and reporting focusing on consolidating data from various Prime Video systems.
Implement bigdata technologies (e.g. Redshift EMR Spark SNS SQS Kinesis) to optimize processing of large datasets.
Develop and maintain the teams data platform including infrastructureascode using AWS CDK.
Work closely with business stakeholders to understand their needs and translate them into technical solutions.
Analyze business processes logical data models and relational database implementations.
Write highperforming SQL queries.
Design and implement automated data processing solutions and data quality controls.
Collaborate with software engineers to support the data needs of products
Participate in oncall rotations to support the teams products and data pipelines.
Optimize data processing and storage solutions to improve performance and reduce costs.
About the team
The Prime Video Content Analytics & Products team is dedicated to developing software and business intelligence products that streamline the process of planning configuring and tracking content launches at every stage of the title lifecycle from the initial concept through production to postlaunch analysis.
Bachelors degree
Experience as a Data Engineer or in a similar role
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience working on and delivering end to end projects independently
Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Experience with Apache Spark / Elastic Map Reduce
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice https://www.amazon.jobs/en/privacypage to know more about how we collect use and transfer the personal data of our candidates.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit https://amazon.jobs/content/en/howwehire/accommodations for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to addon channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fastpaced growth business available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you please read on.
The Prime Video Content Analytics and Products (PVCAPs) team is looking for an experienced Data Engineer.
The ideal candidate thrives working with large volumes of data enjoys the challenge of highly complex technical contexts and is passionate about data and analytics. The candidate is an expert within data modeling ETL design and cloud/bigdata technologies and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates largescale business impact. The candidate should be a selfstarter; comfortable with ambiguity able to think big and enjoy working in a fastpaced and global team. Its a big ask and were excited to talk to those up to the challenge!
Key job responsibilities
Build and optimize data pipelines to ingest and transform data from various sources including traditional ETL pipelines and event data streams.
Utilize data from disparate sources to build meaningful datasets for analytics and reporting focusing on consolidating data from various Prime Video systems.
Implement bigdata technologies (e.g. Redshift EMR Spark SNS SQS Kinesis) to optimize processing of large datasets.
Develop and maintain the teams data platform including infrastructureascode using AWS CDK.
Work closely with business stakeholders to understand their needs and translate them into technical solutions.
Analyze business processes logical data models and relational database implementations.
Write highperforming SQL queries.
Design and implement automated data processing solutions and data quality controls.
Collaborate with software engineers to support the data needs of products
Participate in oncall rotations to support the teams products and data pipelines.
Optimize data processing and storage solutions to improve performance and reduce costs.
About the team
The Prime Video Content Analytics & Products team is dedicated to developing software and business intelligence products that streamline the process of planning configuring and tracking content launches at every stage of the title lifecycle from the initial concept through production to postlaunch analysis.
Bachelors degree
Experience as a Data Engineer or in a similar role
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience working on and delivering end to end projects independently
Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Experience with Apache Spark / Elastic Map Reduce
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice https://www.amazon.jobs/en/privacypage to know more about how we collect use and transfer the personal data of our candidates.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit https://amazon.jobs/content/en/howwehire/accommodations for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
