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Principal Distributed Query Processing EngineerUnited States

MapR

Principal Distributed Query Processing Engineer

United States

Looking for a fast-paced environment where you can learn push the boundaries of performance and scale? MapR Data Platform is built for Cloud, Containerized and on-prem deployments and provides scale and integrated security. It contains a robust NoSQL database, file system and messaging event store with integrated security. We are looking for talented engineers to help expand the functionality and make it the product of choice for Hadoop, Spark, Kafka and AI/ML big data use-cases. To learn more about MapR Data Platform. please visit: https://mapr.com/products/mapr-converged-data-platform/
In this role, you will:
  • Research technology trends and competitive products and deliver a high-performance data platform for analytic query processing of extremely large amounts of data.
  • Design and implement key database features including cost and heuristic based query optimization, indexing and efficient memory management.
  • Design and extend developer friendly APIs that support multiple analytic engines like Spark, Drill and custom applications.
What you'll get in return:
  • Work in small teams of talented and dedicated individuals in a fast-paced environment.
  • Get your hands dirty on the internals of the distributed MapR Data Platform, Apache Drill and Apache Spark.
  • Work in a high-growth market in a late-stage pre-IPO startup
  • Subsidized lunches, free healthy snacks, game room, weekly chair massages, social events, accessible leadership team.
Relevant skills & experience:
  • Passionate about learning, take pride in code quality and a self-starter
  • Strong Java development and debugging skills. C++ is a plus
  • Delivered database and query processing products, multi-threaded scalable and distributed systems
  • BS degree in Computer Science or equivalent

Location: Santa Clara, CA in the heart of Silicon Valley

About MapR Technologies, Inc.

MapR Technologies, a provider of the industry's leading data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP and other leading businesses are all part of the MapR ecosystem. For more information, visit www.mapr.com.

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