Senior Data Engineer, Prime Video Core Analytics and Tooling
4 weeks ago
Are you interested in shaping the future of entertainment?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies. We are looking for a skilled Data Engineer to join our team and help us build the next generation of how and what Amazon customers are watching.
The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. You will have the opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. Our data warehouse is built on AWS cloud technologies like Redshift, Kinesis, Lambda, S3, MWAA, performing ETL processing on multi terabytes of relational data in a matter of hours.
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.
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.
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