At a Glance
- Tasks: Build and optimise data pipelines for Prime Video's analytics and reporting.
- Company: Join Amazon's innovative Prime Video team shaping the future of entertainment.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Make a real impact on how millions enjoy movies and TV shows worldwide.
- Qualifications: Experience in data engineering, ETL design, and cloud technologies required.
The predicted salary is between 63000 - 77000 £ 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 any time 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 Prime Video Content Analytics and Products (PVCAPs) team is looking for an experienced Data Engineer. You will have the chance to work with large volumes of data and enjoy the challenge of highly complex technical contexts. We are looking for experience within data modeling, ETL design and cloud/big-data technologies, and for someone who passionately partners with the business to identify strategic opportunities where improvements in data infrastructure create large-scale impact.
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 big-data technologies (e.g., Redshift, EMR, Spark, SNS, SQS, Kinesis) to optimize processing of large datasets.
- Develop and maintain the team's data platform, including infrastructure-as-code 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 high-performing 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 on-call rotations to support the team's 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 post-launch analysis.
Basic qualifications:
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets.
- 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 with data modeling, warehousing and building ETL pipelines.
- Experience working with or evaluating AI systems.
Preferred qualification:
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases).
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.
Data Engineer, Prime Video Content Analytics & Products in London employer: Amazon
Amazon is an exceptional employer, offering a dynamic internship experience in the vibrant region of Yorkshire and the Humber. With a strong focus on employee growth, interns benefit from hands-on project delivery, collaboration with industry experts, and a clear pathway to graduate opportunities, all within a supportive work culture that values innovation and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer, Prime Video Content Analytics & Products in London
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We think you need these skills to ace Data Engineer, Prime Video Content Analytics & Products in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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