Senior Data Engineer, Prime Video Core Analytics and Tooling
1 month ago
We are seeking a highly skilled Senior Data Engineer to join our Prime Video team. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining large-scale data warehouses and data pipelines using cloud-based technologies such as AWS Redshift, Kinesis, and Lambda.
About the RoleThis is a unique opportunity to work on a massive scale, solving complex data warehousing problems and 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.
- 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.
- 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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