Description
- 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
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required.
Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
We are looking for an experienced, innovative, and strategic Sr. Data Engineer. In this role, you will be working in a large and complex data warehouse environment. You should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions.
You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with Analysts, Business Intelligence Engineers Data Scientists, Software Developers as well as business teams across Amazon AIR org.
In this role, you will have ownership of end-to-end development of data engineering solutions to complex questions and you’ll play an integral role in strategic decision-making.
The right candidate will possess excellent technical ability in relational database management systems a database architecture, solid business and communication skills, be able to work with business owners to develop and define key business questions, be able to work with external data vendors to onboard new datasets, and be able to collaborate to analyze data.
Key job responsibilities
• Design, implement, and support an analytical data infrastructure providing ad hoc access to large datasets and computing power
• Managing 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
- 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
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required.
Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
We are looking for an experienced, innovative, and strategic Sr. Data Engineer. In this role, you will be working in a large and complex data warehouse environment. You should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions.
You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with Analysts, Business Intelligence Engineers Data Scientists, Software Developers as well as business teams across Amazon AIR org.
In this role, you will have ownership of end-to-end development of data engineering solutions to complex questions and you’ll play an integral role in strategic decision-making.
The right candidate will possess excellent technical ability in relational database management systems a database architecture, solid business and communication skills, be able to work with business owners to develop and define key business questions, be able to work with external data vendors to onboard new datasets, and be able to collaborate to analyze data.
Key job responsibilities
• Design, implement, and support an analytical data infrastructure providing ad hoc access to large datasets and computing power
• Managing 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
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