Amazon
Senior Data Engineer - Managed Operations Engineering & Data Science
Amazon, Arlington, Virginia, United States, 22201
Join Amazon Web Services (AWS) as a Senior Data Engineer
in the Managed Operations Engineering & Data Science (MOEDS) team. Be a part of a pioneering organization aimed at reducing operational burdens through innovative engineering projects. AWS is renowned for its highly reliable, scalable, low-cost cloud infrastructure, supporting countless businesses worldwide. Your Role: Collaboration and Product Development:
Work closely with business and software teams to translate business requirements into effective system designs. Data Modeling and Architecture:
Create robust data models and architectures that ensure data quality, consistency, and accessibility. Data Pipeline Development:
Design, build, and maintain efficient and scalable data pipelines to unify data from various sources. Scalability and Performance:
Implement scalable solutions capable of managing increasing data volumes for high-performance access. Mentorship:
Interview, mentor, and guide other Data Engineers in the organization. Documentation and Continuous Improvement:
Develop, enhance, and maintain technical documentation. Why AWS?
As a leader in cloud services, AWS continuously innovates and evolves. Our inclusive culture thrives on diverse experiences, and we prioritize flexibility to promote work-life harmony. We are committed to mentorship and career advancement, offering numerous resources to help you grow professionally. Basic Qualifications: 5+ years of experience in data engineering, database engineering, business intelligence, or analytics. Proficient in data modeling and building ETL pipelines. Experience with programming languages such as Python, Java, Scala, or NodeJS. Knowledge in building and operating distributed systems for large datasets. Preferred Qualifications: 7+ years of data engineering experience. Proven experience in building data products and integrating multiple data sources. Strong background in operating large data warehouses. Master's degree in a relevant field. This position requires U.S. citizenship. Join us in making a billion-dollar impact at AWS!
in the Managed Operations Engineering & Data Science (MOEDS) team. Be a part of a pioneering organization aimed at reducing operational burdens through innovative engineering projects. AWS is renowned for its highly reliable, scalable, low-cost cloud infrastructure, supporting countless businesses worldwide. Your Role: Collaboration and Product Development:
Work closely with business and software teams to translate business requirements into effective system designs. Data Modeling and Architecture:
Create robust data models and architectures that ensure data quality, consistency, and accessibility. Data Pipeline Development:
Design, build, and maintain efficient and scalable data pipelines to unify data from various sources. Scalability and Performance:
Implement scalable solutions capable of managing increasing data volumes for high-performance access. Mentorship:
Interview, mentor, and guide other Data Engineers in the organization. Documentation and Continuous Improvement:
Develop, enhance, and maintain technical documentation. Why AWS?
As a leader in cloud services, AWS continuously innovates and evolves. Our inclusive culture thrives on diverse experiences, and we prioritize flexibility to promote work-life harmony. We are committed to mentorship and career advancement, offering numerous resources to help you grow professionally. Basic Qualifications: 5+ years of experience in data engineering, database engineering, business intelligence, or analytics. Proficient in data modeling and building ETL pipelines. Experience with programming languages such as Python, Java, Scala, or NodeJS. Knowledge in building and operating distributed systems for large datasets. Preferred Qualifications: 7+ years of data engineering experience. Proven experience in building data products and integrating multiple data sources. Strong background in operating large data warehouses. Master's degree in a relevant field. This position requires U.S. citizenship. Join us in making a billion-dollar impact at AWS!