Data Engineer, Prime Video Finance Analytics

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 anytime 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 Prime Video Finance Analytics team is looking for an experienced Data Engineer. The team is embedded within finance alongside content and business finance partners we own the single-source-of-truth metrics layer that serves both finance and business leadership. Working across AWS technologies youll deliver self-service analytics infrastructure-as-code and reliable ETL/ELT workflows. Youll 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.

Key job responsibilities
- Build and optimize data pipelines to ingest and transform data from various sources including traditional ETL pipelines and event data streams.
- Utilize data from disparate sources to build meaningful datasets for analytics and reporting focusing on consolidating data from various Prime Video systems.
- Implement big-data technologies (e.g. Redshift EMR Spark SNS SQS Kinesis) to optimize processing of large datasets.
- Develop and maintain the teams data platform including infrastructure-as-code using AWS CDK.
- Work closely with business stakeholders to understand their needs and translate them into technical solutions.
- Analyze business processes logical data models and relational database implementations.
- Write high-performing SQL queries.
- Collaborate with software engineers to support the data needs of products.

- 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

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