We are looking for outstanding candidates to join our international team at our Amazon Development Center in central Berlin for a Software Development Engineer internship in 2018
. Internships are flexible in length and start date to fit in with your university’s requirements.
Our interns join one of our small agile teams at our development center, launching and growing new initiatives for Amazon's global business. Your team will be involved in every aspect of the process - from idea generation, business analysis and technical design through to development, performance analysis and deployment across a variety of technologies - giving you a real sense of ownership. Together we build systems that meet high standards of performance and reliability and operate at massive scale.
Amazon is a place where builders can build. Our internships offer exceptional opportunities for you to grow your technical and non-technical skills. From day one, you will be working with experienced engineers and designers who love what they do.
You will join a high performing team with which you will grow and innovate. You will drive your own learning and development with guidance and coaching from your manager, mentor and team mates. You will personally experience the excellent long-term career development prospects at one of the world’s leading online businesses.
We offer highly competitive internship salaries. This is your opportunity to experience a unique environment and spend your industrial internship with a passionate and international team who are pioneers.
Our Redshift Database team
is developing a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. It enables customers to dramatically increase their query performance when analyzing virtually any size data set using the same SQL-based business intelligence tools they use today
. With this team you will have the chance to explore a particular database implementation or performance analysis project and work together with other developers and designers in the team to deliver new and enhanced functionality within the Redshift database or the Redshift Spectrum data lake analytics engine.