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Big Data Cloud Support Associate

Big Data Cloud Support Associate

Job ID 
Posted Date 
Amazon Web Services, Inc.
Position Category 
Operations, IT, & Support Engineering
Recruiting Team 

Job Description

Scientists, developers, and many other technologists from many different industries are taking advantage of Amazon Web Services to perform big data analytics and meeting the challenges of the increasing volume, variety, and velocity of digital information. Amazon Web Services offers a comprehensive, end-to-end portfolio of cloud computing services, allowing customers to implement solutions for all stages of the big data life cycle.

Amazon Web Services is looking for Support Engineers with an affinity for big-data tools. We seek passionate engineers who can assist new and existing customers as they deploy and maintain their data within the Amazon Web Services Big Data product portfolio.

Why AWS Premium Support?
- Flexible schedule: Salaried role with flexible start time between 7am-11am.
- Follow-the-sun model with support sites in 6 locations globally: No after hours on-call or mandated overtime in this role. Engineers work a stable Sunday-Thursday or Tuesday-Saturday schedule.
- Travel the world: Strong support engineers interested in travel have presented training or participated in focused summits across our sites worldwide or at specific AWS events.
- Career development within AWS Premium Support: We promote advancement opportunities including senior support engineer, tier 2.5 / SME, team lead, and technical account manager - 5 support engineers have been promoted to manager within the last 2 years in Seattle alone.
- Variety: Support engineers not only work a broad spectrum of technical issues but may also coach/mentor new hires, develop and present training, partner with development teams on complex issues or contact deflection initiatives, participate in recruiting, write tools/script to help the team, or work with leadership on process improvement or strategic initiatives.

Basic Qualifications

  • Bachelor's degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field, or equivalent work experience
  • 5+ years of experience in technical position
  • Experience with Hadoop (Cloudera), EMR, DynamoDB (Cassandra), or similar
  • Experience monitoring Hadoop cluster performance with Ganglia
  • Experience with JVM performance monitoring and tuning
  • Experience with Map-Reduce, Zookeeper, HBASE, HDFS, Pig, or Hive
  • Linux system administrator skills

Preferred Qualifications

  • Strong knowledge of Linux system monitoring and analysis
  • Expert knowledge of Hadoop 1 & 2 architectures and administration and support.
  • Expert knowledge in Map-Reduce, Cascading, HBase, HDFS, Pig, Hive
  • Excellent oral and written communication skills
  • Customer service experience / strong customer focus
  • Strong analysis and troubleshooting skills and experience
  • Self-starter who is excited about learning new technology
  • Expert knowledge in Spark and understanding of DAGs a plus
  • Be able to perform Shell scripting experience with Chef or Puppet
  • Expert understanding of ETL principles and how to apply them within Hadoop
  • Be able to read Java code, and basic coding/scripting ability in Java, Scala, Python, Perl, and/or Ruby
  • Networking experience (DNS, TCP/IP)
  • Database experience (MySQL, Postgreql, Oracle)
  • Exposure to Virtualization (VMware, Xen, Hypervisor)
  • Prior working experience with AWS - any or all of EC2, S3, Data Pipeline, Redshift, RDS, DynamoDB, EMR
  • Exposure to security concepts / best practices
  • Expertise with IPsec, VPN, Load Balancing, Iperf, MTR, Routing Protocols, SSH, Network Monitoring / Troubleshooting tools
  • Experience managing full application stacks from the OS up through custom applications

Amazon is an Equal Opportunity-Affirmative Action Employer-Minority/Female/Disability/Vet