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Amazon Web Services (AWS) Off Campus 2024 Details :
Amazon Web Services (AWS) Recruitment 2024 Eligibility Criteria :
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Data Processing is a fully managed service offering next-generation data integration features at massive scale. Data Processing simplifies and automates the difficult and time consuming data discovery, conversion, mapping, and job scheduling tasks and is fully serverless.
We are building the next generation serverless analytics platform, with a performant dataplane. We are scaling the backend infrastructure to enable super-low latencies for workloads at a massive scale like never seen before. The teams owns both the product & backend and it’s a unique experience.
Top reasons to join our team:
* Be part of big data revolution in cloud
* Be catalyst to deliver a truly disruptive product(s) that are growing rapidly
* Learn how to build & operate distributed systems at massive scale
* Solve unique and first-order problems in areas of Big Data, serverless computing, Spark, Distributed Systems and Machine Learning
* You get to define, build, own, and run a service in high growth environment
* Influence and build products that will leverage scale of resources to run serverless big data workloads
About you:
* Passionate in building large scale distributed systems
* Thrive in culture of ownership, delivery and bias for action
* Fast pace environment energizes you to be at your best
* Innovate and invent in agile and collaborative environment
* Curious and eager to learn to expect more of you and others
Responsibilities:
* Translate functional and technical requirements into detailed architecture, design and extensible code
* Technically lead a team of smart engineers on complex projects
* Be an advocate of industry best-practices to produce reliable, fault-torrent and dependable code
* Code and test complex system modules; develop and leverage frameworks to be effective and efficient
* Participate in architecture, design and code reviews to maintain our high development standards
* Own system architecture, scalability, reliability, and performance
* Collaborate and influence other teams to deliver and operate large scale, distributed services in the cloud
* Mentor other engineers, defining our challenging technical culture, and helping to build a fast-growing team
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