Specialist - System Management

LTM; Irving (TX); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Comprehensive Medical Plan

Disability Coverage

401(k) Plan with Company match

Life Insurance

Vacation Time, Sick Leave, Paid Holyds

Paid Paternity and Maternity Leave

Job summary

LTIMindtree is seeking an experienced Hadoop Administrator to deploy and maintain the Hadoop cluster in Irving, TX, a hybrid role with three on-site days. You will configure NameNode high availability, monitor jobs, and work with DB, network, BI, and application teams to ensure high availability and performance of big data applications.

The role requires 8+ years of Hadoop experience, hands-on configuration of CoreSite/HDFS/YARN/MapR sites, and strong capacity planning.

Qualifications

• 8+ years of experience in Hadoop administration and cluster management.
• Configure and maintain NameNode high availability (HA).
• Monitor Hadoop jobs and cluster health using monitoring tools.
• Plan capacity and scale Hadoop clusters based on data growth.
• Collaborate with DB, network, BI, and app teams to ensure availability.

Responsibilities

• Deploy and maintain the Hadoop cluster.
• Add/remove nodes and monitor cluster using Ganglia/Nagios or Cloudera Manager.
• Configure CoreSite, HDFS Site, YARN Site, MapR Site configurations.
• Ensure 24/7 availability, performance, and security of the Hadoop infra.
• Troubleshoot application errors and manage logs, backup, and recovery.

Skills

Hadoop administration

Capacity planning

Troubleshooting

Cross-team collaboration

Tools

Ganglia

Nagios

Cloudera Manager

Hortonworks

MapR

CoreSite

HDFS Site

YARN Site

MapReduce Site

Job description

• Need candidate with 8+ yrs of experience, deploying 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 a track of all the running Hadoop jobs
• Implementing managing and administering the overall Hadoop infrastructure
• Takes care of the day today running of Hadoop clusters
• 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
• Knowledge on Apache Distribution have to manually setup all the configurations CoreSite HDFS Site, YARN Site and Map Red Site
• Aware of the configuration setup using Hadoop distribution like Hortonworks Cloudera or MapR
• Capacity planning and estimating the requirements for lowering or increasing the capacity of the Hadoop cluster deciding the size of the Hadoop cluster based on the data to be stored in HDFS
• Ensure that the Hadoop cluster is up and running all the time Monitoring the cluster connectivity and performance
• Manage and review Hadoop log files Backup and recovery tasks Resource and security management.

Role Description

Title: Hadoop Administrator

Location: Irving, Tx (Hybrid - 3days)

• Need candidate with 8+ yrs of experience, deploying 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 a track of all the running Hadoop jobs
• Implementing managing and administering the overall Hadoop infrastructure
• Takes care of the day today running of Hadoop clusters
• 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
• Knowledge on Apache Distribution have to manually setup all the configurations CoreSite HDFS Site, YARN Site and Map Red Site
• Aware of the configuration setup using Hadoop distribution like Hortonworks Cloudera or MapR
• Capacity planning and estimating the requirements for lowering or increasing the capacity of the Hadoop cluster deciding the size of the Hadoop cluster based on the data to be stored in HDFS
• Ensure that the Hadoop cluster is up and running all the time Monitoring the cluster connectivity and performance
• Manage and review Hadoop log files Backup and recovery tasks Resource and security management.
• Troubleshooting application errors

Other Details

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”):

Benefits And Perks

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

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, childbirth 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, except where such considerations are bona fide occupational qualifications permitted by law.