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Sr. Software Development Engineer - Amazon Redshift Query Processing

4.00 to 8.00 Years   Bangalore   07 May, 2022
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Job summaryAmazon 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.At the center of the Redshift Data warehouse is the team responsible for building the most intelligent and performant Query planner and optimizer. This team uses data from our service deployment to determine and deliver high value projects. This includes not only evolving our cost based optimizer techniques but also develop novel query optimization techniques for industry-leading query performance.As a Senior Software Development Engineer in Redshift, you will build systems that benefit Redshift clusters across the world. You will take significant ownership on the overall product vision by defining new features and architecture. You will distill complex and ambiguous requirements, converting them into meaningful projects that provide immense customer value. You will own and code end-to-end deliverables from design, development, deployment, monitoring, and operations. You will lead engineers on substantial projects and help develop a flourishing team through active mentoring and hiring. 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.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn t about how many hours you spend at home or at work; it s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.,
    • Strong knowledge of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
    • Knowledge of, at least, one modern programming language such as C, C++, Java, or Python
    • Bachelors degree
    • Experience with database systems internals, query optimization, and storage systems
    • Experience with large-scale data analytics and data warehousing is a plus
    • Experience developing complex software systems that have been successfully delivered to customers
    • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
    • Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
    • Experience delivering and operating large scale, highly available distributed systems is a plus
    • Masters or PhD in Computer Science

Keyskills :
software engineering practicesjavahtmlsoftware development life cyclejavascriptmysqlapi

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