Sr. Data Engineer, Amazon Prime Video CF Data, Insight and Analytics Team

$139,100 - $240,500/Yr

Amazon - Seattle, WA

Full-time - Mid Level

Seattle, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Sr. Data Engineer role at Amazon Prime Video involves working within a large and complex data warehouse environment to design, implement, and support analytical data infrastructure. The position focuses on managing AWS resources, collaborating with various teams to extract and analyze data, and developing data engineering solutions that inform strategic decision-making. The ideal candidate will have a strong technical background in data engineering and a passion for transforming data into actionable insights.

Responsibilities

• Design, implement, and support an analytical data infrastructure providing ad hoc access to large datasets and computing power
• Manage AWS resources
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
• Work with external data vendors to onboard data into existing infrastructure
• Collaborate with Analysts, Business Intelligence Engineers, and Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering, and machine learning
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers

Requirements

• 5+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices

Nice-to-haves

• Experience with big data technologies such as Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses

Benefits

• Medical insurance
• Financial benefits
• Equity options
• Sign-on payments
• Comprehensive employee benefits package