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Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR)

Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR)

Job ID 
US-CA-Palo Alto
Posted Date 
Amazon Corporate LLC
Position Category 
Software Development
Recruiting Team 

Job Description

Want to change the world with Big Data? Come join us on the Amazon Elastic MapReduce (EMR) team!

EMR is a massively scaled distributed service that gives users fast and predictable Big Data performance with clusters running Hadoop, Hive, Pig, Impala, Presto, Spark, Shark 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, realtime processing for big data and intuitive ways of interacting with data, and we’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 to formulating strategy for EMR to keep in Big Data, mentor other engineers and work with 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, Presto, Pig, Spark 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 and customer obsession and have a real passion for massive-scale computing. If you want to truly test your mettle against the hardest in distributed systems to build solutions for large scale problems in a wide variety of domains, come join our group.

Your responsibilities will include:
- Keeping your finger on the pulse of the constantly evolving and growing Big Data field
- Translation of complex functional and technical requirements into detailed architecture and design
- Delivering systems and features with top-notch quality, on time
- Stay current on technical knowledge to keep pace with rapidly changing technology, and work with the team in bringing new technologies on board

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 brightest minds in the industry. You'll enjoy 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!

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Basic Qualifications

· Master's degree in Computer Science or equivalent with 5+ years of experience OR Bachelor's Degree in Computer Science or equivalent with 7+ years experience, in: software development, including design, implementation, debugging, and support
· Very strong Computer Science fundamentals in algorithm design, data structures, problem solving, and complexity
· Strong proficiency in developing objected-oriented software, with deep experience in one or more relevant languages (Java, C, C++, C#)

Preferred Qualifications

· Experience designing and building highly-scaled distributed systems and web services
· Thorough understanding of parallel algorithms, concurrency, asynchronous architectures
· Experience working in an agile software development organization
· Experience building with SOA using Java on Linux
· Proficiency in high-performance, multi-threaded programming
· Excellent verbal and written communication skills
· Knowledge of and contribution to Hadoop ecosystem
· Experience with distributed systems architecture
· Experience with one or more of Ruby, Python, Perl
· Proven ability to effectively drive cross-team solutions that may have complex dependencies
· Masters or Ph.D. in Computer Science with emphasis on distributed systems and Big Data architectures is a plus
· Knowledge about Big Data storage internals is a plus