Data Engineer, Prime Video Content Analytics & Products

Data Engineer, Prime Video Content Analytics & Products

Job ID: 2903433 | Amazon Digital UK Limited

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. 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 Content Analytics and Products (PVCAPs) team is looking for an experienced Data Engineer.

The ideal candidate thrives working with large volumes of data, enjoys the challenge of highly complex technical contexts, and is passionate about data and analytics. The candidate is an expert within data modeling, ETL design and cloud/big-data technologies and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates large-scale business impact. The candidate should be a self-starter; comfortable with ambiguity, able to think big, and enjoy working in a fast-paced and global team. It’s a big ask, and we’re excited to talk to those up to the challenge!

Key job responsibilities

1. Build and optimize data pipelines to ingest and transform data from various sources, including traditional ETL pipelines and event data streams.
2. Utilize data from disparate sources to build meaningful datasets for analytics and reporting, focusing on consolidating data from various Prime Video systems.
3. Implement big-data technologies (e.g., Redshift, EMR, Spark, SNS, SQS, Kinesis) to optimize processing of large datasets.
4. Develop and maintain the team's data platform, including infrastructure-as-code using AWS CDK.
5. Work closely with business stakeholders to understand their needs and translate them into technical solutions.
6. Analyze business processes, logical data models, and relational database implementations.
7. Write high-performing SQL queries.
8. Design and implement automated data processing solutions and data quality controls.
9. Collaborate with software engineers to support the data needs of products.
10. Participate in on-call rotations to support the team's products and data pipelines.
11. Optimize data processing and storage solutions to improve performance and reduce costs.

BASIC QUALIFICATIONS

1. Bachelor's degree
2. Experience as a Data Engineer or in a similar role
3. Experience with data modeling, warehousing and building ETL pipelines
4. Experience with SQL
5. Experience working on and delivering end to end projects independently
6. 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
7. Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

PREFERRED QUALIFICATIONS

1. Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
2. Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
3. Experience with Apache Spark / Elastic Map Reduce

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