Specialist - Data Engineering

LTM; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Comprehensive Medical Plan (Medical,‑D

Short/Long‑term Disability

401(k) Plan with Company match

Life Insurance

Vacation Time and Paid Holidays

Paid Paternity and Maternity Leave

Job summary

LTIMindtree is seeking a seasoned Hadoop Cloudera Platform Engineer to support client data platforms in a production environment. The role emphasizes troubleshooting complex platform issues, optimizing performance, and automating operations on Cloudera Hadoop ecosystems.

The ideal candidate brings extensive experience with HDFS, YARN, Hive, Impala, Spark, and related components, and demonstrates strong Linux/Unix administration and scripting skills.

Qualifications

• 10+ years of experience with Hadoop frameworks and ecosystem components.
• Strong hands-on experience with Cloudera Hadoop.
• Deep knowledge of HDFS, YARN, Hive, Tez, Impala, Spark, MapReduce, and HBase.
• Experience with Apache Ozone and Cloudera Private Cloud Data Services (CDW, CDE, CML).
• Familiar with NiFi, Ranger, Hive metadata, and Hadoop security.
• Strong Linux/Unix administration and troubleshooting.
• Scripting in Python and Unix shell.
• Experience with REST APIs and Cloudera Manager APIs.
• Understanding of Hadoop performance tuning, log analysis, capacity management, and monitoring.

Responsibilities

• Provide client-facing production support for Hadoop-based data platforms.
• Troubleshoot complex platform issues and drive root-cause analyses.
• Improve performance, capacity planning, and automation of repetitive tasks.
• Develop monitoring capabilities and automation to streamline operations.

Skills

Hadoop ecosystem

Cloudera Hadoop

Linux/Unix administration

Python

Shell scripting

REST APIs

Cloudera Manager APIs

Performance tuning

Production support

Data platform troubleshooting

Tools

Cloudera Manager

NiFi

Ranger

CDW

CDE

CML

Ozone

Job description

Role Description

Primary Skills
Cloudera Hadoop HDFS YARN Hive Tez Impala Spark MapReduce HBase Apache Ozone CDW CDE CML NiFi Ranger Linux Unix Python Shell Scripting Cloudera Manager API REST API Hadoop Administration Performance Tuning Production Support

Job Description

The Data Analytics Platform Client Services team is seeking an experienced HadoopCloudera Platform Engineer with strong expertise in the Cloudera Hadoop ecosystem Ozone Private Cloud Data Services Linux and HBase This is a clienttenantfacing production support role responsible for supporting businesscritical data platforms troubleshooting complex platform issues improving performance managing capacity and developing automation and monitoring capabilities

Required Skills

10 years of experience working with Hadoop frameworks and ecosystem components
Strong handson experience with Cloudera Hadoop
Strong knowledge of HDFS YARN Hive Tez Impala Spark MapReduce and HBase
Experience with Apache Ozone
Experience with Cloudera Private Cloud Data Services CDW CDE and CML
Knowledge of NiFi Ranger Hive Metadata and Hadoop security
Strong LinuxUnix administration and troubleshooting skills
Strong scripting experience using Python and UnixShell scripting
Experience with REST APIs and Cloudera Manager APIs
Strong understanding of Hadoop performance tuning log analysis capacity management monitoring and ing
Excellent troubleshooting problemsolving and clientfacing communication skills

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.