Data Engineer, Prime Video Core Analytics and Tooling

Amazon; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading digital company in entertainment is seeking a Data Engineer to join their Prime Video Core Analytics and Tooling team. The role involves solving large-scale data warehousing problems using AWS technologies and developing efficient systems for data processing. Candidates should have experience with modern programming languages, big data technologies like Hadoop and Spark, and knowledge of software engineering best practices. This position is based in Greater London and provides opportunities to impact customer experience directly.

Qualifications

• Experience in at least one modern programming language like Python, Java, Scala, or NodeJS.
• Experience with big data technologies like Hadoop, Hive, Spark, EMR.
• Strong understanding of data modeling, warehousing, and ETL pipelines.
• Experience in building and operating distributed systems for data processing.

Responsibilities

• Solve data warehousing problems on a large scale using AWS services.
• Automate and optimize processes for ETL maintenance and deployment.
• Collaborate with global business partners on unique data challenges.

Skills

Python

Java

Scala

NodeJS

Hadoop

Hive

Spark

EMR

SQL

Tools

AWS Redshift

AWS S3

AWS Glue

Kinesis

FireHose

Lambda

Job description

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 that 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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