Specialist - System Management

LTM

Tampa (FL)

Hybrid

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Comprehensive Medical Plan Covering Medical, Dental, Vision
Short Term and Long-Term Disability Coverage
401(k) Plan with Company match
Life Insurance
Paid Paternity and Maternity Leave

Job summary

LTIM in Tampa, FL is seeking a Hadoop Admin to manage and optimize our Hadoop clusters. In this hybrid role, you will deploy and maintain clusters, monitor performance, and ensure high availability while collaborating with various teams.

The ideal candidate should have expertise in Hadoop distributions and cluster monitoring tools while ensuring the infrastructure continually meets application demands. We offer competitive compensation and comprehensive benefits including health insurance, 401(k) plan, and paid leave.

Qualifications

  • Experience in deploying and maintaining Hadoop clusters.
  • Knowledge of Apache Hadoop distributions.
  • Skills in capacity planning and resource management.

Responsibilities

  • Deploy and maintain Hadoop clusters while ensuring high availability.
  • Monitor cluster performance and manage logs.
  • Collaborate with teams to support big data applications.

Skills

Hadoop cluster management
Cluster monitoring tools (Ganglia, Nagios, Cloudera Manager)
Configuration of CoreSite, HDFS Site, YARN Site, MapR Site
Performance optimization
Troubleshooting

Tools

Hortonworks
Cloudera
MapR

Job description

Role

Title: Hadoop Admin

Location: Tampa, FL (Hybrid - 3 days)

Responsibilities
  • Deploying and maintaining the Hadoop cluster, adding and removing nodes using cluster monitoring tools like Ganglia, Nagios, or Cloudera Manager, configuring the Name Node high availability
  • Keeping track of all running Hadoop jobs
  • Implementing, managing and administering the overall Hadoop infrastructure
  • Taking care of the day-to-day running of Hadoop clusters
  • Work closely with the database team, network team, BI team, and application teams to ensure that big data applications are highly available and performing as expected
  • Knowledge of Apache distributions; manually setting up configurations for CoreSite, HDFS Site, YARN Site and MapR Site
  • Aware of configuration setup using Hadoop distributions like Hortonworks, Cloudera, or MapR
  • Capacity planning and estimating requirements for lowering or increasing the capacity of the Hadoop cluster; deciding the size of the Hadoop cluster based on data to be stored in HDFS
  • Ensure the Hadoop cluster is up and running at all times; monitoring cluster connectivity and performance
  • Manage and review Hadoop log files; backup and recovery tasks; resource and security management
  • Troubleshooting application errors
Compensation and Benefits

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

  • Comprehensive Medical Plan Covering Medical, Dental, Vision
  • Short Term and Long-Term Disability Coverage
  • 401(k) Plan with Company match
  • Life Insurance
  • Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law.

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