MapR is the top ranked provider of Hadoop, NoSQL and SQL-on-Hadoop offerings by combining the best-of-breed open-source technologies with MapR’s enterprise-grade Data Platform.
Apache Spark is emerging compute platform that provides unsurpassed speed for batch and real-time analytics, stream processing, graph computations and machine learning. We are looking for a hands-on engineer to help make MapR’s Spark distribution to be the fastest, most resilient, secure and easiest-to-use by leveraging the unique architectural advantages of our Platform. To learn more about MapR platform please visit: https://www.mapr.com/products/mapr-distribution-including-apache-hadoop
In this role, you will:
What you’ll get in return:
Relevant skills & experience:
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.