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Principal Distributed Systems Engineer

Location: San Jose, CA
Apply Here: app.jobvite.com/m?3duSqiwM
Principal Distributed Systems Engineer
Apache Drill is a new type of distributed analytical query and execution layer that combines traditional SQL concepts with newer technologies like JSON, NoSQL, and Hadoop. We’re looking for seasoned, hands-on engineers to take on a senior role, working within a dedicated team and an awesome community to build this groundbreaking open source product. You’ll innovate on topics including high performance query optimization, querying nested schema-less data, distributed scheduling and latency/laggard management, memory allocation planning and field-striped storage techniques, improving query latency, and increasing scalability —all sponsored by MapR Technologies, a leading provider of Hadoop. 
The cool stuff you get to do
  • Interesting deep-dive technical challenges
  • Mentally engaging, invested coworkers
  • Build or hone skills working with leading big data technologies like Cassandra, Riak, Hadoop, HDFS, AVRO, MongoDB, Zookeeper.
  • Become a major contributor and committer of an important open source Apache project
  • Open source job protection and security
  • Quiet time for technical research
  • Ability to talk to and show anybody what you’re working on (including going to and presenting at many technical conferences--as you desire)
  • Upside and flexibility of a startup with stability of a mid-stage company
What you need to have to succeed:
  • Strong programming experience with a desire to be hands-on
  • 8+ years of experience programming complex systems in Java or C++
  • Experience building distributed systems, query processing systems, database internals, and/or analytic systems
The stuff that would be nice to have: 
  • Strong understanding of SQL
  • Past architecture experience with Hive, Hadoop, NoSQL tools such as HBase, Cassandra or MongoDB, Postgres
About Apache Drill: 
Apache Drill is an Apache project sponsored by multiple leading big data companies. Its goal is to provide a distributed system for SQL based interactive analysis of large-scale datasets. Inspired by Google's Dremel technology, it aims to process trillions of records in seconds. 
About MapR Technologies: 
At MapR, we provide the industry's only converged data platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage, enabling customers to harness the enormous power of their data. In other words, we provide game-changing technology that’s redefining enterprise computing. Don’t just be part of the big data community—join MapR and help drive it!
MapR Technologies is an equal opportunity employer.

Apply Here: app.jobvite.com/m?3duSqiwM
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