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SQL Distributed Systems Engineer

Location: Santa Clara, CA
APPLY HERE: http://app.jobvite.com/m?3iR4nkwp

In this exciting position within the support organization, you will provide the highest level of level of technical expertise and advice to MapR’s rapidly growing customer base. You will provide assistance to these enterprises throughout the Pre- and Post-Sales process. On average, your role will consist of providing the highest level of technical expertise to MapR’s customer base, work on resolving customer issues and replicating issues in-house, work on code fixes with Engineering and release patches to resolve complex issues as soon as possible.
If you consider yourself a technical dynamo, and you are looking for a challenge in a trailblazing company we want to hear from you!
Responsibilities and Daily Duties:
  • Acting as a distributed system engineer evaluate high priority issues on MapR filesystem, security, no SQL database, MapR messaging and SQL on Hadoop products
  • Troubleshooting issues regarding SQL on Hadoop products such as Hive, Drill, Impala, Spark SQL
  • Analyzing query plans to understand the execution flow
  • Performing SQL tuning based on statistics and query logic
  • Use scripting and pattern matching tools to debug to find the root cause and understanding of good query optimization techniques.
  • Working on table structure and partitions, understanding data types, and running sample queries to see customer reported errors. Evaluating table regions and knowing how to recover from region failures and restore file consistencies.
  • Interacting with various customer teams to be aware of customer use case, systems, tools and monitoring applications that are used for managing the cluster
  • Evaluating all third-party applications used by the customer and how they are integrated with MapR software. 
  • Developing MapR documentation and/or knowledge articles that include more detailed explanations.
  • Utilizing strong analytical skills to dig deep into the problem, and performing root cause 
  • Analyzing slow java programs or failures related to JVM using j-stack and j-map to see which processes or threads are either blocked or slow and suggest corrective action.
  • Coordinating with Engineering and other internal teams for escalations.
Skills/Tools/Technologies Required:
  • Bachelor's degree in Computer Science. Computer Engineering, Electrical Engineering or a related field
  • 3+ years of industry experience is required.
  • Understanding of performance characteristics of various queries (at least on traditional database engines) is required.
  • Knowledge of Linux operating system administration and troubleshooting is required.
  • Understanding of more recent SQL on Hadoop products (Hive, Spark SQL, Drill, Impala etc) is desirable.
  • Knowledge on different data formats, including JSON, Parquet, ORC, etc is desirable.
  • Knowledge on BI and data analytics tools is desirable.
  • Understanding of database internals, including query parsing and cost-based optimization, would be desirable.
  • Excellent interpersonal, written and oral communication skills. 
  • A plus if you have Java development skills
About MapR Technologies, Inc.:
MapR Technologies, provider of the industry's next generation 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 mapr.com.
MapR Technologies is an equal opportunity employer.

APPLY HERE: http://app.jobvite.com/m?3iR4nkwp
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