Data Engineer, Prime Video Core Analytics and Tooling

Amazon; Pisa; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading global technology company is seeking a Data Engineer for its Prime Video Core Analytics and Tooling team in Pisa, Italy. The ideal candidate should have strong experience in big data technologies and a programming background, particularly in Python and Java. Responsibilities include solving data warehousing challenges and optimizing systems for automated data processes. Join us in shaping the future of entertainment, where your innovations will drive strategic decisions for content and customer experiences. Flexibility in work arrangements is offered.

Competenze

• Experience in at least one modern scripting or programming language.
• Experience with big data technologies.
• Experience building highly available distributed systems.

Mansioni

• Solve data warehousing problems on a massive scale.
• Apply cloud-based AWS services to solve big data challenges.
• Work closely with global business partners and technical teams.

Conoscenze

Python

Java

Hadoop

SQL

Data modeling

Strumenti

AWS Glue

Redshift

Spark

Descrizione del lavoro

Data Engineer, Prime Video Core Analytics and Tooling

Job ID: 3139902 | 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. 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 team owns a global data platform that powers analytics and data science within Prime Video. Building on AWS cloud technology and processing some eye-watering volumes of relational data, our team is passionate about the security, latency and usability of our products. Abstracting complexity from the analytics community, so they can more rapidly innovate on behalf of our customers.

Key job responsibilities

You'll solve data warehousing problems on a massive scale and apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, self-service data access, automated data quality detection and building infrastructure as a code. You'll be part of the team that focuses on automation and optimization for all areas of DW/ETL maintenance and deployment.

You'll 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. You'll develop efficient systems and tools to process data, using technologies than can scale to seasonal spikes and easily accommodate future growth. Your work will have a direct impact on the day-to-day 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/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

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

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Posted: December 15, 2025