Technical Support Engineer/Distributed Systems Engineer – HPE/MapR

Job description

Technical Support Engineer/Distributed Systems Engineer – HPE/MapR

  

Job Description:

   

In this exciting position within the support organization, you will provide the highest level of level of technical expertise and advice to our 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 our 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, and MapR messaging
·  Installing and configuring MapR filesystem for customers, including sizing the nodes
·  Advising how to set up volumes, using NFS for access and data ingestion
·  Troubleshooting issues with MapR filesystem and quickly come with a solution to avoid future issues.
·  Using scripting and pattern matching tools to debug to find the root cause.
·  Working on table structure and partitions or no SQL databases, 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.
·  Setting up either Kerberos or MapR security on customer environment for authentication and authorization and ensuring security tickets are issued and configured properly.
·  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.
·  Utilizing strong analytical skills to dig deep into the problem, performing root cause and assigning to relevant categories such as bug, configuration, and hardware for effective problem-solving.
·  Working knowledge of Hadoop administration for data processing, data ingestion, and analytics. -Ex amples include MR, YARN, Hive and Hbase.
·  Guiding customers on data ingestion by suggesting right technology and helping them use the right tools for ETL. Helping to configure Metastore and multiplicity for access to Metastore.
·  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 on product defects, testing and patch delivery to customers.
·  Maintaining all communication and ownership of cases opened by the customer and bringing in sales engineers for enhancements and internally working with backline to shadow issues.
·  Capturing best practices as part of the engagement and writes knowledge articles for self-service

Education and Experience Required:

·  Bachelor's degree in Computer Science. Computer Engineering, Electrical Engineering or a related field
·  5-7 years’ experience in relevant technologies and customer environments.
·  Relevant industry qualification where applicable.

Skills/Tools/Technologies Required:

·  Programming languages: Java, Python, sparkSQL, Scala and C/C++
·  Tools: tcpdump, netstat, SAR, free, htop, IOStat, meminfo, jstack, gdb, vmstat
·  Technologies: Hadoop, Sqoop, Flume, Hive, HBase, HiveServer 2, HDFS, MySQL, spark, SQL tez, and Oozie
·  Knowledge of Linux operating system administration and troubleshooting
·  Learning of MapR build tools such as fsck, gfsck, guts and analyzing core dumps.
·  A plus if you have Java/C++ development skills

Job:
Services

Job Level:
Master

    

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.