Data Engineer, Prime Video Finance BI Team
DESCRIPTION
Amazon’s Prime Video is a premium on‑demand video entertainment service that offers customers an extensive selection of Amazon Original TV shows and movies, as well as exclusive content and live sports. Prime Video is rapidly expanding to over 240 countries and operates in a dynamic, innovative environment where customer focus drives everything we do.
The Prime Video Finance BI team seeks a Data Engineer to power the data infrastructure behind the service’s strategic and financial decision making. You will design and build scalable data pipelines and warehouse solutions that underpin business‑critical reporting used by leadership worldwide, collaborate with Finance and Business stakeholders to translate ambiguous business challenges into well‑engineered, automated data solutions, and directly enable the KPIs, metrics and analytics that drive Prime Video’s 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 stakeholders in Finance and Business teams, 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 Node.js.
* Experience with big data technologies such as Hadoop, Hive, Spark, and EMR.
* Experience building/operating highly available, distributed systems for extraction, ingestion, and processing of large data sets.
* Experience with data modeling, warehousing, and building ETL pipelines.
* Knowledge of distributed systems as they pertain 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 such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
* Experience working on and delivering end‑to‑end projects independently.
EEO & DIVERSITY
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.
Amazon does not discriminate on the basis of protected veteran status, disability, or any other legally protected status.
WORKPLACE ACCOMMODATIONS
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