Senior Hadoop/Big-data Engineer
6 – 12 months
Recent experience with Hadoop projects
Develop high-quality software using MapReduce, Hbase, Yarn, Pig, Spark, and/or other
parts of the Hadoop family
Increasing further scalability and improving accessibility of our data by designing and
implementing efficient data structures;
Supporting new use cases for our end users with new, smart, process flows and data
Develop new mechanisms to allow for faster availability of data to our end-users, for
example implementing Spark-based solutions for new and current use cases;
Provide technical support for and work closely with our system
administrators maintaining our Hadoop systems
Provide occasional second line on-call support for our Hadoop clusters
Be a reliable technical resource for colleagues both inside as well as externally
Have good communication skills and an excellent command of the English language
Be proactive in identifying problem areas and propose improvements to our technical
environment, as well as to the team’s day-to-day operations.
Since many of our use cases revolve around Internet measurement data, an affinity with
Internet network technologies, like TCP/IP, DNS, and BGP routing would be a definite
advantage. And because we only run our services on linux systems, experience with unix
environments and scripting languages like python and bash is very important.
+ Hands-on experience with mapreduce is a MUST
+ Experienced java programming is a MUST
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