Amazon Sr Data Engineer Prime Video 

United States, Washington, Seattle 

825962123

Key job responsibilities
· Build end-to-end data pipelines to ingest and transform data from different types of data sources and systems; from traditional ETL pipelines to event data streams
· Utilize data from disparate data sources to build meaningful datasets for analytics, reporting and ML use cases
· Evaluate and implement various big-data technologies and solutions (e.g. Redshift, Hive/EMR, Spark, SNS, SQS, Kinesis) to optimize processing of extremely large datasets
· Understand and analyze business processes, logical data models and relational database implementations
· Write high performing and optimized SQL queries
· Execute research projects, and generate practical results and recommendations
· Design and implement automated data processing solutions and data quality controls
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

- Bachelor's degree
- 5+ years of data engineering, database engineering, business intelligence or business analytics experience
- Knowledge of data mining techniques, predictive analytics, and statistical modeling
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

- Master's degree
- 7+ years of data engineering, database engineering, business intelligence or business analytics experience
- 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 with big data technologies such as: Hadoop, Hive, Spark, EMR
- Expert level skills writing and optimizing complex SQL