Data Engineer, Prime Video Finance BI Team
Job ID: 3139902 | Amazon Digital UK Limited
Prime Video is a premium on-demand video entertainment service that offers customers a wide range of original TV shows and movies. The service is available in more than 240 countries and is dedicated to innovating on behalf of customers to improve the content and customer experience strategy.
Key Job Responsibilities
* Design, build, and maintain large‑scale data warehouse architectures and ETL/ELT pipelines that serve hundreds of users globally, ensuring high availability, performance, and data integrity.
* Apply cloud‑based AWS services (Redshift, Glue, EMR, S3, Lambda, Step Functions) to solve challenging problems around big data processing, data warehouse design, and self‑service data access.
* Develop automated data quality detection frameworks and monitoring systems to ensure data accuracy, completeness, and timeliness across critical datasets.
* Build and maintain infrastructure as code (CloudFormation, CDK, Terraform) to enable repeatable, version‑controlled deployment of data platform resources.
* Gather technical and business requirements from Finance and Business stakeholders and translate them into scalable, automated, and well‑engineered data solutions.
* Develop efficient systems and tools to process data at scale, using technologies that accommodate seasonal spikes and future growth.
* Drive automation and optimization across all areas of data warehouse/ETL maintenance, deployment, and operational excellence.
* Build strong partnerships with Business Intelligence, Core Analytics Tooling, and upstream data teams to enhance data sources, improve data models, and enable more scalable and accurate downstream reporting.
* Provide technical guidance on data modeling best practices, pipeline design patterns, and platform capabilities to support informed decision making across Prime Video.
Basic Qualifications
* 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 or operating highly available, distributed systems for 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 the 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.
Preferred Qualifications
* 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 opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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