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Data Engineer - OperationsUnited States

MapR

Data Engineer - Operations

United States

About MapR Technologies

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.

Data Engineer- Operations

Data Engineers will report into MapR's Professional Services Organization. MapR Data Engineers are responsible for delivering a variety of engineering services to MapR customers throughout North America. Assignments will vary based on the candidate's skills and experience. Typical assignments may involve cluster sizing, installation, configuration, health checks, performance tuning, data migration, security, and automation. MapR's growing customer base includes most of the Fortune 50 companies which makes the work assignments technically challenging yet rewarding. This role provides a significant opportunity to learn and apply big data technologies and solve related complex problems. MapR Data Engineers report to the Director of Data Engineering located at company headquarters in San Jose, CA.

Responsibilities:
  • Master the MapR Converged Platform, including MapR-FS, MapR-DB Binary and JSON Tables, MapR-Streams and the Hadoop Eco-System products and maintain proficiency and currency as the technology evolves and advances.
  • Achieve and maintain proficiency with MapR cluster and Hadoop Framework sizing, installation, debugging, performance optimization, cluster migration, security, and automation.
  • Achieve proficiency with MapR DB Binary and Json Tables sizing, performance tuning and multi-master replication.
  • Achieve proficiency with MapR Streams sizing, performance tuning and multi-master replication.
  • Assist the Sales Team (Sales Rep and Sales Engineer) in positioning and selling MapR Service products and Service offerings.
  • Work closely with MapR sales in scoping and estimating customer professional service projects.
  • Write, deliver and present formal SOW's (Statement of Work).
  • Deliver SOW content in formal, hands-on, onsite customer engagements and ensure the on-time delivery and quality of MapR Professional Service engagements.
  • Be a technical voice to MapR's customers and technical community via blogs, Hadoop User Groups (HUG's) and through participation at leading industry conferences.
  • Stay current in best practices, tools, and applications used in the delivery of professional service engagements.


Requirements:
  • 5+ years experience administering any flavor of Linux
  • Strong scripting skills (Bash or Python preferred)
  • Familiarity with commercial IT infrastructures including storage, networking, security, virtualization and systems management
  • DevOps background and familiarity with either Ansible, Puppet or Chef
  • Proficiency in basic Java or Scala programming preferred but not required
  • 2+ years in a customer facing, professional services software delivery role
  • Bachelor's degree in CS or equivalent experience
  • Familiarity with Hadoop and the Hadoop Eco-System framework a significant advantage (MapR is willing to train otherwise promising candidates)
  • Strong verbal and written communication skills are required
  • Ability to professionally manage multiple priorities with minimal supervision and deliver on schedule
  • Willingness to travel about 70%


The ideal candidate will have any/all of the following:

RHCE certification, Bash or Python scripting, Automation using Ansible, Puppet or Chef, basic knowledge of Hadoop, Hive, or Spark

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