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Software Developer Intern - Redshift Database Job ID: 1395707 | Amazon Web Services, Inc.
DESCRIPTIONAmazon Redshift is the worlds most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Redshift.
We are looking for talented software engineers in the data plane team of Amazon Redshift. The data plane team is responsible for the database engine including query analysis, query optimization, massive parallel query execution, transaction processing and the storage layer. As a software engineer in the data plane team of Amazon Redshift, you will:
Design and implement state-of-the-art distributed data processing algorithms for the parallel execution query engine and storage layer.
Design and implement new SQL language features which add to the rich functionalities Redshift provides to the end users such as analysts, data engineers and data scientists.
Work on integration between Redshift and other AWS services in the AWS ecosystem, including data ingestion, federation, machine learning and many more.
This is a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology powering analytical workloads for Fortune 500 companies, startups, and everything in between. You will bring deep technical, algorithmic and coding expertise with the ability to work within a fast moving and collaborative environment in the industry leading cloud company to deliver a broad business impact.
BASIC QUALIFICATIONS Programming experience with at least one modern language such as Java, C, or C# including object-oriented design
Enrolled in B.S / M.S / Ph.D. in Computer Science or any relative field during the time of application (graduation date on or after August 2021) with focused study and research experience in the following areas:
Distributed systems: fault tolerance, RPC, distributed data structures and algorithms
Database internals (storage): indexing, access methods, concurrency control, logging, caching, transaction processing, replication, backup restore, buffer management
Database internals (query processing): query compilation, optimization, execution, parallel execution
Compilers: design and implementation
PREFERRED QUALIFICATIONSStrong interests and academic qualifications/research focus in database systems, compilers, operating systems, distributed systems.
NOTE: Amazon works with a high volume of applicants so we appreciate your patience as we review applications. 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. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
