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Posted: Thursday, August 31, 2017 6:36 PM

Want to change the world with Big Data and Analytics? Come join us on the Amazon Web services (AWS) Elastic MapReduce (EMR) teamEMR is a massively scaled distributed service that gives users fast and predictable Big Data performance with clusters running Hadoop, Hive, Pig, Impala, Spark, Shark, HBase and more, with the ability to effortlessly scale up and down as needed. We run millions of customer clusters, enabling processing on vast datasets.We are developing innovative new features including the next:generation cluster management system, real:time processing for big data and intuitive ways of interacting with data, and weA?re looking for top engineers to build them from the ground up.This is a hands:on position where you will be do everything from designing and building extremely stable components and cutting:edge features for the savviest customers in the business to help them get the best results.You will have a chance to work with the open source community and contribute significant portions its software to open source projects possibly including Hadoop, Spark, Pig and Hbase. You need to not only be a top software developer with excellent programming skills, an understanding of big data and parallelization, 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:: Translation of complex functional and technical requirements into detailed architecture and design: Deliver systems and features with top:notch quality, on time: Develop new technologies for monitoring production clusters : Own the software development process end:to:end, including: working with engineers and product managers to develop requirements; designing, architecting, planning, implementing, and testing new systems and features; deploying, and operating the production EMR systems. In joining our team, you will get to work with a minimum of technical supervision, while playing a variety of roles as needed to respond efficiently to multiple program priorities. You will get to collaborate with some of the best and brightest minds in the industry. Youll enjoy a competitive salary, great benefits, a creative and agile work environment, and the exciting opportunity to be part of a fast:paced and growing team and one of the most innovative technology companies : but most of all, you will get the satisfaction of making products that millions use everyday to great effect***For more information on Amazon Web Services, ******For more information on Amazon Elastic MapReduce, and contact to set up an informational If you know another great engineer who would fit perfectly, please put in a referral, or drop me a line with their contact info. Masters degree in Computer Science or equivalent with 3+ years of experience OR Bachelors Degree in Computer Science or equivalent with 5+ years experience, in: software development, including design, implementation, debugging, and supportVery strong Computer Science fundamentals in algorithm design, data structures, problem solving, and complexity analysisStrong proficiency in developing objected:oriented software, with deep experience in one or more relevant languages (Java, C, C++, C) Very strong Computer Science fundamentals in algorithm design, data structures, problem solving, and complexity analysisExperience designing and building highly:scaled distributed systems and web servicesThorough understanding of parallel algorithms, concurrency, asynchronous architecturesExperience working in an agile software development organizationExperience building with SOA using Java on LinuxProficiency in high:performance, multi:threaded programmingKnowledge of and contribution to Hadoop ecosystemExperience with distributed system


• Location: Seattle

• Post ID: 54587217 seattle is an interactive computer service that enables access by multiple users and should not be treated as the publisher or speaker of any information provided by another information content provider. © 2017