Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us to solve big data challenges and innovate for Prime Video's analytics.
- Company: Amazon Prime Video is a leading streaming service with a vast collection of content worldwide.
- Benefits: Enjoy flexible work options, competitive pay, and a vibrant team culture.
- Why this job: Make a real impact on entertainment choices while working in a dynamic, innovative environment.
- Qualifications: Experience in programming, big data technologies, and building ETL pipelines is essential.
- Other info: Diversity and inclusion are core values at Amazon; we welcome all applicants.
The predicted salary is between 28800 - 42000 £ per year.
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 add-on 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 fast-paced, 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 team owns a global data platform that powers analytics and data science within Prime Video. Building on AWS cloud technology and processing some eye-watering volumes of relational data, our team is passionate about the security, latency and usability of our products. Abstracting complexity from the analytics community, so they can more rapidly innovate on behalf of our customers.
Key job responsibilities
You\’ll solve data warehousing problems on a massive scale and apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, self-service data access, automated data quality detection and building infrastructure as a code. You\’ll be part of the team that focuses on automation and optimization for all areas of DW/ETL maintenance and deployment.
You\’ll work closely with global business partners and technical teams on many non-standard and unique business problems and use creative problem solving to deliver data products that underpin Prime Video strategic decision making, from content selection to on-platform customer experience. You\’ll develop efficient systems and tools to process data, using technologies than can scale to seasonal spikes and easily accommodate future growth. Your work will have a direct impact on the day-to-day decision making across Prime Video.
– Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
– Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
– Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
– Experience with data modeling, warehousing and building ETL pipelines
– Knowledge of distributed systems as it pertains to data storage and computing
– 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 as a Data Engineer or in a similar role
– Experience with SQL- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
– Experience working on and delivering end to end projects independently
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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
#J-18808-Ljbffr
Data Engineer, Prime Video Core Analytics and Tooling employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Prime Video Core Analytics and Tooling
✨Tip Number 1
Familiarise yourself with AWS services, especially those mentioned in the job description like Redshift and EMR. Having hands-on experience or projects showcasing your skills with these technologies can set you apart.
✨Tip Number 2
Network with current or former employees of Prime Video or Amazon. Engaging with them on platforms like LinkedIn can provide insights into the company culture and the specific challenges they face, which you can address in your discussions.
✨Tip Number 3
Prepare to discuss your experience with big data technologies and how you've applied them in real-world scenarios. Be ready to share specific examples of projects where you solved complex data problems.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical interviews. Practice coding challenges and system design questions that relate to data engineering, as these will likely be a focus during the interview process.
We think you need these skills to ace Data Engineer, Prime Video Core Analytics and Tooling
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Data Engineer position at Prime Video. Familiarise yourself with the technologies mentioned in the job description, such as AWS services, big data technologies, and programming languages.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in data warehousing, ETL pipelines, and any specific AWS technologies you have worked with. Use quantifiable achievements to demonstrate your impact in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how it relates to the entertainment industry. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work with large datasets. Make sure to express your enthusiasm for contributing to Prime Video's mission.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. Ensure that your documents are well-structured and clearly convey your qualifications. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Amazon
✨Showcase Your Technical Skills
Be prepared to discuss your experience with big data technologies like Hadoop, Spark, and AWS services. Highlight specific projects where you've successfully implemented these tools, as this will demonstrate your hands-on expertise.
✨Understand the Business Impact
Familiarise yourself with how data engineering impacts decision-making in Prime Video. Be ready to explain how your work can enhance customer experience and contribute to content selection, showcasing your understanding of the business side of data.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving skills. Practice articulating your thought process when tackling complex data warehousing challenges, as this will illustrate your analytical abilities.
✨Emphasise Collaboration and Communication
Since you'll be working closely with global business partners and technical teams, highlight your experience in collaborative environments. Share examples of how you've effectively communicated technical concepts to non-technical stakeholders.
