Apache Hadoop MapReduce is among the most popular, open-source, data processing systems in the world. We are looking for senior folks with experience in large-scale, distributed systems to help drive Hadoop MapReduce even further. Your primary focus will be scale, performance and scheduling in Apache Hadoop MapReduce.
Requirements:
Experience with large-scale, distributed systems design and development with strong understanding of scaling, performance and scheduling.
Hands-on programmer, strong in data structures and programming practices.
Java experience desirable.
Experience using MapReduce or other parallel programming techniques.
Experience with using or designing large-scale, distributed systems. Hands on programmer with strong data-structures and algorithms, Java experience desired. Experience using MapReduce or other parallel programming techniques, and experience using or developing AWS or other Cloud platforms.
Experience using cloud platforms such as AWS, OpenStack, Torque/Maui/Moab etc.
Experience using multi-tenancy systems features such as Linux containers, cgroups.
Experience using projects in Apache Hadoop ecosystem such as Pig, Hive, HBase etc. is a big plus.
Strong oral and written communication skills.xperience contributing to Open Source projects is desirable.
Ability to work in an agile and collaborative setup. within an engineering team.
