Amazon is hiring: Data Engineer, Prime Video Core Analytics and Tooling in San F

Data Engineer, Prime Video Core Analytics and Tooling

Job ID: 3139902 | Amazon Digital UK Limited

Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies. The team owns a global data platform that powers analytics and data science within Prime Video. We work on AWS cloud technology to process large relational data and focus on the security, latency and usability of our products.

Key job responsibilities

• You'll solve data warehousing problems on a massive scale and apply cloud-based AWS services to solve challenges around big data processing, data warehouse design, self-service data access, automated data quality detection and infrastructure as 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 non-standard problems and 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 future growth. Your work will have a direct impact on day-to-day decision making across Prime Video.

Basic Qualifications

• Experience in at least one modern scripting or programming language (Python, Java, Scala, or NodeJS)
• Experience with big data technologies such as Hadoop, Hive, Spark, EMR
• Experience building/operating highly available, distributed systems for 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 and best practices for full software development life cycle, including coding standards, architectures, code reviews, source control, 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 delivering end-to-end projects independently

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