Prime Video & Amazon MGM Studios
Data Engineer, Prime Video Finance Analytics
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Data Engineer, Prime Video Finance Analytics
Prime Video Data Engineer – Finance Analytics Team
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—with the ease of finding what customers love to watch in one place. Here, we provide:
- Thousands of popular movies and TV shows, including Originals and Exclusive content as well as live sports events.
- Add-on channels (subscribable, cancelable anytime).
- Rent/document purchase options for new releases and box sets in the Prime Video Store.
This is a fast-paced, global business, delivering services across 240+ countries and territories. Our dynamic environment prioritizes innovation on behalf of our customers. If this excites you, read on.
The Role: Finance Analytics Data Engineer
The Prime Video Finance Analytics team is looking for an experienced Data Engineer. We sit alongside:
- Content and business finance partners, embedding within finance.
- Serving as the single-source-of-truth metrics layer for finance and leadership.
- Driving self-service analytics, iac and reliable ETL/ELT workflows—all while supporting strategic decisions, from content strategy to customer experience.
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Key Responsibilities
Collaborate across AWS technologies to deliver data products that shape Prime Video’s future:
- Build and optimize data pipelines for ingesting, transforming, and streaming data from diverse sources (traditional ETL and real-time event streams).
- Consolidate disparate data from multiple Prime Video systems into meaningful, analytics-ready datasets.
- Leverage big data tools such as Redshift, EMR, Spark, SNS, SQS, and Kinesis to optimize large-scale data processing.
- Design, maintain, and automate the team’s data platform using AWS CDK for infrastructure-as-code.
- Work closely with business stakeholders to translate their needs into technical solutions (e.g., improved analytics, reporting, or decision tools).
- Analyze business processes, logical data models, and relational database implementations.
- Craft high-performance SQL queries to support reporting and analysis.
- Collaborate with software engineers to align data infrastructure with product needs.
Requirements
Basic Qualifications
- Programming/scripting proficiency in modern languages like Python, Java, Scala, or Node.js.
- Hands-on big data experience (e.g., Hadoop, Hive, Spark, EMR).
- Track record of building/operating distributed data systems—ETL pipelines, ingestion pipelines, and high-availability data architectures.
- Skills in data modeling, warehousing, and ETL pipeline design.
- Understanding of distributed systems as they relate to data storage and processing.
- Strong grasp of software engineering best practices, including:
- Coding standards.
- Data modeling and architecture principles.
- Source control.
- Continuous deployment and testing strategies.
- Operational excellence.
- Prior experience as a Data Engineer or equivalent.
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Preferred Qualifications
- AWS expertise—Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM roles, and permissions.
- Ability to own end-to-end data projects from conception to deployment.
Inclusion & Working At Amazon
At Amazon, we believe:
- Diversity drives innovation. We champion equivalence, equity, and inclusion while upholding equal opportunity for all.
- Your passion for discovery and simplicity fuels Amazon’s long-term mission.
- Privacy and security are foundational. Visit Amazon’s Privacy Policy for details.
To offer accommodations—whether for interviewing or onboarding—let us know by visiting our Career Support resources.
Company: Amazon Digital UK Limited Job ID: A10388690
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