Senior Data Engineer, Prime Video Core Analytics and Tooling

1 month ago


London, Greater London, United Kingdom Amazon Digital UK Limited Full time
Join Our Team of Data Engineers

We are seeking a highly skilled Data Engineer to join our team at Amazon Digital UK Limited. As a Data Engineer, you will play a key role in designing, building, and maintaining our data warehouse and data pipelines.

About the Role

This is an exciting opportunity to work on a large-scale data warehouse environment, built on AWS cloud technologies. You will be responsible for solving data warehousing problems on a massive scale, applying 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.

Key Responsibilities
  • 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.
  • 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.
  • Develop efficient systems and tools to process data, using technologies that can scale to seasonal spikes and easily accommodate future growth.
Requirements
  • 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 as a Data Engineer or in a similar role.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Experience with SQL.
  • 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.
  • Knowledge of distributed systems as it pertains to data storage and computing.
  • Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent.
Preferred Qualifications
  • Experience operating large data warehouses.
  • Experience building data products incrementally and integrating and managing data sets from multiple sources.
  • Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions, and data engineering strategy.
  • Experience with MPP databases such as Amazon Redshift.

We are open to hiring candidates to work out of one of the following locations:

London, GBR


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