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- Tasks: Solve big data challenges and optimise data processes for Prime Video.
- Company: Join Amazon's Prime Video team, a leader in streaming entertainment worldwide.
- Benefits: Enjoy flexible work options, innovative projects, and a diverse, inclusive culture.
- Why this job: Make a real impact on how millions enjoy movies and shows globally.
- Qualifications: Experience with programming languages, big data tech, and data engineering practices required.
- Other info: Be part of a dynamic team focused on innovation and customer satisfaction.
The predicted salary is between 36000 - 60000 £ per year.
You\’ll solve data warehousing problems on a massive scale and apply cloud-based AWS services to address challenges around: big data processing, data warehouse design, self-service data access, automated data quality detection, and building infrastructure as code. You\’ll be part of the team focused 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, using creative problem solving to deliver data products that underpin Prime Video\’s strategic decision-making, from content selection to on-platform customer experience. You\’ll develop efficient systems and tools to process data, utilizing scalable technologies that can handle seasonal spikes and accommodate future growth. Your work will directly impact day-to-day decision-making across Prime Video.
Requirements include experience in at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS; experience with big data technologies like Hadoop, Hive, Spark, EMR; building and operating highly available, distributed systems for data extraction, ingestion, and processing large data sets; data modeling, warehousing, and ETL pipelines; knowledge of distributed systems related to data storage and computing; professional software engineering practices, including coding standards, architectures, code reviews, source control, continuous deployment, testing, and operational excellence; experience as a Data Engineer or similar role; and proficiency with SQL.
Preferred qualifications include experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions; and experience delivering end-to-end projects independently.
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 offering a vast collection of TV shows and movies, including Originals, Exclusive content, and live sports events. Customers can subscribe to add-on channels, rent or buy new releases, and enjoy a seamless viewing experience. Prime Video operates in over 240 countries and territories worldwide. Our team works in a dynamic environment where innovation for our customers is at the core.
The team owns a global data platform powering analytics and data science within Prime Video. Building on AWS cloud technology and processing large volumes of relational data, we focus on security, latency, and usability, abstracting complexity to enable rapid innovation by the analytics community.
Amazon is an equal opportunity employer. We believe that a diverse workforce is key to our success. We make recruiting decisions based on experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and data security is a top priority. Please see our Privacy Notice for more information.
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Data Engineer, Prime Video Core Analytics and Tooling employer: Amazon.com, Inc
Contact Detail:
Amazon.com, Inc 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 S3. Having hands-on experience or projects showcasing your use of these technologies can set you apart during discussions.
✨Tip Number 2
Network with current Data Engineers or professionals in similar roles at Prime Video. Engaging with them on platforms like LinkedIn can provide insights into the team culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific challenges you've faced in data warehousing or big data processing. Be ready to share examples of how you creatively solved problems, as this aligns closely with the role's focus on innovative solutions.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud technologies. Being able to discuss recent advancements or tools in the field can demonstrate your passion and commitment to continuous learning, which is highly valued.
We think you need these skills to ace Data Engineer, Prime Video Core Analytics and Tooling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with big data technologies and cloud services like AWS. Use specific examples to demonstrate your skills in scripting languages, data warehousing, and ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your background aligns with the role at Prime Video. Mention specific projects or experiences that relate to the job description, especially those involving automation and optimization.
Showcase Technical Skills: In your application, clearly list your technical skills, including programming languages (like Python or Java), big data technologies (such as Hadoop or Spark), and any AWS services you have experience with. This will help you stand out to recruiters looking for specific qualifications.
Highlight Problem-Solving Abilities: Provide examples of how you've tackled complex data challenges in previous roles. Emphasise your creative problem-solving skills and how they contributed to successful outcomes, particularly in relation to data products and decision-making processes.
How to prepare for a job interview at Amazon.com, Inc
✨Showcase Your Technical Skills
Be prepared to discuss your experience with modern programming languages like Python or Java, and big data technologies such as Hadoop and Spark. Highlight specific projects where you've applied these skills, especially in data warehousing and ETL processes.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your creative problem-solving skills. Prepare examples of unique business problems you've tackled in the past, particularly those involving data processing and infrastructure challenges.
✨Familiarise Yourself with AWS Services
Since the role involves AWS technologies, brush up on services like Redshift, S3, and AWS Glue. Be ready to explain how you've used these tools in previous roles to optimise data workflows and enhance system performance.
✨Understand the Business Impact
Articulate how your work as a Data Engineer can influence decision-making at Prime Video. Think about how data products can shape content selection and improve customer experiences, and be ready to discuss this during the interview.
