Amazon Development Center U.S., Inc.
Technology
SoftwareDevelopmentEngineer-AmazonRedshift
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Development Engineer - Amazon Redshift at Amazon Development Center U.S., Inc.. Skills: Query processing, Distributed systems, Data warehousing. Design new SQL language features. Implement new SQL language features”
Industry & Context.
In-depth analysis
What They're Looking For.
Must Have
2+ years software development experience, 2+ years system design or architecture experience, 1+ years designing/developing large-scale applications, Bachelor's degree or foreign equivalent
Nice to Have
Experience working on Database query engine
What You'll Do.
Design new SQL language features
Implement new SQL language features
Design state-of-the-art algorithms
Implement state-of-the-art algorithms
Work on integration with AWS services
Identify performance improvement opportunities
Mentor other engineers
How You'll Work.
Team & Collaboration
Collaborative environment
Full Job Description
Amazon Redshift is the world’s 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 actively hiring talented software engineers in the query processing team of Redshift. Query processing is at the heart of Redshift data plane and is responsible for query analysis, query optimization and the massive parallel execution engine. As a software engineer in query processing, you will: - 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. - Design and implement state-of-the-art distributed data processing algorithms for the parallel execution query engine. - Work on integration between Redshift and other AWS services in the AWS ecosystem, including data ingestion, federation, machine learning and many more. - Identify opportunities for performance improvement by in-depth analysis of the query plan and query execution states. - Deploy and monitor new features in a highly available and fault tolerant system running in the cloud. - Mentor other engineers, providing technical guidance and helping to build a fast-growing team 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. A day in the life AWS values diverse experiences. Even if
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