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Hadoop Admin w/Hbase & AWS exp (REMOTE) - 1120

PlacingIT San Jose, CA

  • Benefits Offered Vision, Medical, Life Insurance, 401k, Dental
  • Employment Type Full-Time

Hadoop Admin w/Hbase & AWS exp (REMOTE) - 1120

(Multiple states) - Full Time

Remote but may have to travel up to 25% to client sites

Our client is looking for an experienced Hadoop Administrator with quantifiable HBase experience that can become an integral part of huge-scale Hadoop implementation projects including Hadoop cluster deployments, upgrades, DR, HA, migrations, capacity planning and on-going cluster administration and management.

Responsibilities include:

  • Manage and maintain production mission critical large-scale Hadoop clusters with hundreds of nodes.
  • Configure, tune, manage and operate large-scale HBase deployments.
  • Migrate Hadoop clusters from on-premise to cloud environments.
  • Deploy Hadoop clusters in the cloud on AWS infrastructure using both EC2 and EMR.
  • Plan for capacity upgrading or downsizing as and when the need arises.
  • Secure and harden Hadoop clusters containing PIIs and other sensitive information
  • Be proficient in Linux scripting and also in Hive, Oozie, and HCatalog

Requires experience:

  • 3+ years of hands-on experience in managing production Hadoop clusters including all infrastructure aspects such cluster provisioning & administration. Experience can be either Cloudera or Hortonworks based.
  • 3+ years of experience in monitoring and supporting production 24x7 Hadoop environments.
  • 3+ years’ experience as a Linux administrator including scripting, monitoring, deployments, installations, security and operations.
  • 3+ years’ experience supporting and maintaining production HBase clusters.
  • 3+ years of in-depth and hands-on experience working with the Hadoop ecosystem query engines such as Impala, HIVE, Tez, Presto and experience in data modeling including table partitioning models, deep understanding of Parquet file, SequenceFiles, etc.…
  • 1+ years of demonstratable experience in running production Hadoop workloads using public cloud infrastructure in Amazon Web Services, Azure or GCP.
  • Strong familiarity and hands-on experience with cloud computing concepts and technologies, such as EC2, EMR, S3, Glue, etc. and the related Hadoop best-practices on deploying Hadoop on such infrastructure.
  • Experience in planning Hadoop for production including sizing and pre/post deployment processes.
  • Experience in data replication across Hadoop clusters using DistCP or alternative solutions.
  • Experience with Amazon EMR – a huge plus.


At PlacingIT, our focus is on efficiency, precision, and outstanding customer service. Instead of inundating our clients with resumes that they really don't have time to review, our goal is to build responsive, lasting partnerships so we can present to our clients the highest-quality, perfect-fit candidates. We have a solid pipeline of referred and passive candidates, which gives our clients exposure to highly qualified professionals that might not otherwise be visible on job boards. PlacingIT is diversity certified by the NMSDC (National Minority Supplier Development Council), WBENC (Women's Business Enterprise National Council), and the Texas Comptroller of Public Accounts Historically Underutilized Business (HUB) program. These certifications allow PlacingIT to help you achieve your company's diversity goals.


San Jose, CA


Posted: 25 days ago