During this challenging time, I want to share with you the plans we have developed to manage the possible impact of Covid 19. Considering the well-being of our employees and being socially responsible to follow the guidelines from the government, we have given work from home for most of our employees. Our Managers have communicated strict guidance to all our employees on the procedure to be followed while working from home and people who still work from office should avoid public transportation and follow health guidelines provided by the respective health department. We will continue to assess our plans based on guidelines from government and health departments.

If you have any concerns, please feel free to get in touch with our CEO, Mr. Sandip Gopakumar.

>

Hadoop Admin

Job Code : PTM/HA/1236

Looking for Hadoop Admin

Should have 3 to 12 years of experience

Location: Trivandrum / Bangalore

Notice Period: Preferring Immediate Joinees

  • Responsibilities and Duties:
  • Installed and configured various components of Hadoop ecosystem and maintained their integrity
  • Deploying and maintaining a Hadoop cluster, adding and removing nodes using cluster monitoring tools like Ganglia Nagios or Cloudera Manager
  • Work closely with the database team, network team, BI team and application teams to make sure that all the big data applications are highly available and performing as expected.
  • Managed all aspects of our AWS infrastructure (compute, storage, network, permissions, cost) using configuration management tools like Ansible, Cloud Formation and shell scripts
  • Assist in designing, automating, implementing and sustainment of Amazon machine images (AMI) across Cloud environment.
  • Configured S3 buckets with various life cycle policies to archive the infrequently accessed data to storage classes based on requirement.
  • Implementing and sustainment of Amazon machine images (AMI) across Cloud environment
  • Experience with VPC, Subnets, and Route tables
  • Responsible for capacity planning and estimating the requirements for lowering or increasing the capacity of the Hadoop cluster.
  • Monitoring the cluster connectivity and performance.
  • Backup and recovery tasks
  • Resource and security management
  • Troubleshooting application errors and ensuring that they do not occur again
  • Competencies & Experience Required/Desired
  • Bachelor’s degree in computer science, information technology, data science, data analytics, interactive media, or related field
  • 8+ years of experience in Data warehousing or similar analytic data experience
  • 3+ years of experience creating and managing complex data architectures.
  • 5+ years of experience in database design, development and data modeling.
  • 5+ years if experience working as a Hadoop Admin
  • Hands-on experience on Cloudera installation, configuration, debugging, tuning and
  • administration.
  • Must have prior Cloudera Hadoop cluster deployment experience from the scratch.
  • Hands-on experience on Cloudera, working with data delivery teams to setup new Hadoop users.
  • This includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive.
  • Competency in Red Hat Linux administration (security, configuration, tuning, troubleshooting and monitoring).
  • Expert knowledge on Active Directory/LDAP security integration with Cloudera Big Data platform.
  • Performance tuning experience of Cloudera clusters and Spark (PySpark, Spark, Language R) and MapReduce routines.
  • Experience Optimizing clusters for future workloads.
  • Hands-on experience on node management, monitoring and response, support processes creation, upgrades and patches, logging configuration and managing user rights and space quota.
  • Working knowledge of Networks, Linux OS and Unix Shell Scripting.
  • Experience working on Agile projects and Agile methodology in general
  • Additional Skills:
  • Hadoop, AWS and Azure certifications is a plus

(Drop your resume to hrindia@palnar.com, Please make sure you include the job code in the subject of the Email when applying)

PalnarDriven By Values!