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- Tasks: Build the future of entertainment by solving big data challenges for Prime Video.
- Company: Join Amazon's innovative team shaping how customers enjoy movies and TV.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on global entertainment while working with cutting-edge technology.
- Qualifications: Experience in programming, big data technologies, and data engineering.
- Other info: Dynamic environment with exciting projects and career advancement opportunities.
The predicted salary is between 28800 - 48000 £ 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 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 will 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 code.
- You will be part of the team that focuses on automation and optimization for all areas of DW/ETL maintenance and deployment.
- You will 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 will develop efficient systems and tools to process data, using technologies that 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.
Data Engineer, Prime Video Core Analytics and Tooling in London employer: Amazon Digital UK Limited
Contact Detail:
Amazon Digital UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Prime Video Core Analytics and Tooling in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Prime Video. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving big data technologies. This gives you a chance to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for the interview like it’s the final boss level! Research Prime Video's data challenges and think about how your experience can solve them. Tailor your answers to show you understand their needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Data Engineer, Prime Video Core Analytics and Tooling in London
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data engineering shine through! Talk about your experiences and how they relate to the exciting projects we have at Prime Video. We want to see that you’re not just looking for a job, but that you’re genuinely excited about shaping the future of entertainment with us.
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with big data technologies and AWS services, as these are key to what we do. We love seeing candidates who take the time to align their skills with our needs!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. We appreciate clarity, so make sure your achievements and skills stand out without unnecessary fluff!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Prime Video!
How to prepare for a job interview at Amazon Digital UK Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS services like Redshift and EMR. Brush up on your knowledge of big data tools like Hadoop and Spark, as well as programming languages like Python or Java. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific projects where you used creative problem-solving to deliver results. This is crucial for a role that involves unique business problems, so be ready to share your thought process and outcomes.
✨Understand the Business Impact
Familiarise yourself with how data engineering impacts decision-making in a streaming service like Prime Video. Be prepared to discuss how your work can influence content selection and customer experience. Showing that you understand the bigger picture will impress your interviewers.
✨Practice Coding and System Design
Since this role involves building ETL pipelines and working with distributed systems, practice coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Being able to demonstrate your technical abilities in real-time will give you an edge.
