Data Engineer, Prime Video Content Analytics & Products

Amazon Digital Uk Limited; Greater London; On-site; GBP 65,000 - 100,000; Full time

Job summary

Amazon Digital Uk Limited, London, England, is seeking an experienced Data Engineer for Prime Video Content Analytics & Products. You will build and optimize data pipelines, create meaningful datasets for analytics, and work with large volumes of data across Prime Video systems.

The role emphasizes big-data technologies (Redshift, EMR, Spark, Kinesis), infrastructure-as-code with AWS CDK, and close collaboration with business stakeholders to translate needs into scalable data solutions.

Qualifications

• Experience as a data engineer or related specialty with large datasets.
• Knowledge of software engineering best practices across the SDLC.
• Experience with data modelling, warehousing and ETL pipelines.
• Experience with AI systems is a plus.

Responsibilities

• Build and optimize data pipelines from multiple sources, including ETL and event streams.
• Create datasets for analytics and reporting by consolidating data from Prime Video systems.
• Use big-data tech to optimize processing of large datasets.
• Develop and maintain the data platform with infrastructure-as-code (AWS CDK).
• Collaborate with stakeholders to translate needs into technical solutions.
• Analyze business processes and relational data models.
• Write high-performing SQL queries.
• Design automated data processing solutions and data quality controls.
• Work with software engineers to support data needs of products.
• Participate in on-call rotations to support data pipelines and products.
• Aim to reduce costs and improve data processing performance.

Skills

Data engineering

SQL & data modeling

Big data technologies

ETL design

Stakeholder collaboration

Tools

AWS Redshift

AWS EMR

Apache Spark

AWS Kinesis

AWS CDK

S3

Job description

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

You will have the chance to work with large volumes of data and enjoy the challenge of highly complex technical contexts. We are looking for experience within data modeling, ETL design and cloud/big-data technologies, and for someone who passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates large-scale impact.

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 team's 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
• - Design and implement automated data processing solutions and data quality controls.
• - Collaborate with software engineers to support the data needs of products
• - Participate in on-call rotations to support the team's products and data pipelines
• - Optimize data processing and storage solutions to improve performance and reduce costs

About the team

The Prime Video Content Analytics & Products team is dedicated to developing software and business intelligence products that streamline the process of planning, configuring, and tracking content launches at every stage of the title lifecycle, from the initial concept through production to post-launch analysis.

BASIC QUALIFICATIONS

• - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
• - 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 with data modeling, warehousing and building ETL pipelines
• - Experience working with or evaluating AI systems

PREFERRED QUALIFICATIONS

• - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Data Engineer, Prime Video Content Analytics & Products London, England, GBR