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MapR

Senior Data EngineerDallas, Texas, United States

Senior Data Engineer

Dallas | Texas | United States

Description

The Senior Data Engineer 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. Typically, MapR Data Engineering assignments can vary from Hadoop cluster installation and configuration, cluster health check and performance tuning to formal, Big Data application development at the customer site. MapR's growing customer base includes most of the Fortune 50 companies which makes the work assignments both technically challenging and diverse. This role provides a significant opportunity to learn and apply big 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
  • Master data layout and no-SQL schema design best practices
  • Achieve and maintain proficiency with MapR cluster and Hadoop Framework installation, debugging, and performance measurement/optimization
  • Achieve proficiency developing Big Data solutions utilizing the MapR Converged Data Platform and ecosystem tools such as Spark, Storm, Flink and Pig
  • Achieve proficiency with Big Data SQL query engines such as Drill, Spark SQL, and Hive
  • 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 hands-on, formal 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 of hands-on application development experience in Java, Scala or C++
  • 2+ years of Linux experience
  • Basic scripting skills (Bash or Python preferred)
  • 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 on schedule
  • Understanding of commercial IT infrastructures including storage, networking, security and systems management
  • Willingness to travel about 70%

The ideal candidate will have any/all of the following:
Hadoop, Spark, Scala or Java Programming, Hive, HBase (MapR-DB), Kafka (MapR-Streams)

About MapR Technologies:

MapR Technologies provides a leading distribution for Hadoop. MapR's Hadoop stack combines optimized versions of open source technologies including Apache HBase, Hive, Pig, and MapReduce with a powerful data management layer and enterprise reliability features to power companies' Big Data analytical needs. Founded in 2009, MapR is well funded by leading VCs, already has substantial revenue and carries an enviable customer base that includes leading Fortune 100 companies as well as top technology companies.

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