Amazon Web Services, Inc.

Technology

SoftwareDevelopmentEngineerBigData,AWSElasticMapReduce(EMR)

$143–194k Redmond, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR) at Amazon Web Services, Inc.. Skills: Big Data, AWS EMR, Distributed systems. Design large scale systems. Build large scale systems”

Industry & Context.

Technology
Problems you'll solve

Troubleshoot complex problems

What They're Looking For.

Must Have

2+ years software development experience, Experience with Java, C++, or C#, 1+ years systems architecture and design experience

Nice to Have

Master's degree in CS, Engineering, Math, 5+ years large-scale software development, Knowledge of Big Data applications, Knowledge of Container Platforms

What You'll Do.

Design large scale systems

Build large scale systems

Contribute to open source projects

Design next-generation technologies

Build next-generation technologies

Work on complex problems

Translate requirements to design

Deliver systems and features

Own software development process

Work with engineers and PMs

Implement new systems

How You'll Work.

Team & Collaboration

Cross-functional teams; Work with product managers

Full Job Description

Want to change the world with Big Data and Analytics? Come join us on the Amazon EMR team in Amazon Web Services! Amazon EMR is a web service which enables customers to run massive clusters with open-source data processing frameworks like Apache Hadoop, Spark, Hive, Presto, HBase and more, with the ability to effortlessly scale up and down as needed. We run large number of customer clusters, enabling a variety of customer use cases including analytics and web-scale machine learning. We are developing innovative new features including our next-generation cluster management system, improvements for real-time processing of big data, and ways to enable customers to more easily interact with their data. We’re looking for top engineers to build them from the ground up. Key job responsibilities You will work backwards from the customer needs and you will get to do everything from designing and building large scale systems and features for the savviest customers in the business. You will have a chance to work with the open source community and contribute significant portions its software to open source projects including Hadoop, Spark, Hive, Presto and HBase. You need to not only be a top software developer with excellent programming skills, an understanding of distributed systems and parallel data processing, and a stellar record of delivery but also excel at leadership and customer obsession and have a real passion for massive-scale computing. If you want to truly test your mettle against the hardest challenges in distributed systems to build solutions for large scale problems in a wide variety of domains, come join our group. Your responsibilities will include: - Designing and building the next-generation technologies that will make EMR the best environment to run large-scale data processing workloads. - Working on complex problems in distributed systems and query engines. - Translation of complex functional and technical requirements into detailed architecture and desig

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