W-2 Jobs Portal

  • W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters

Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Hadoop & Big Data

  • Job Title:

    Sr. Hadoop Developer

  • Location:

    Cincinnati,OH

  • Duration:

    8 Months

  • Domain Exposure:

    Insurance, Government, IT/Software

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2 (Consultant must be on our company payroll. C2C is not allowed)




Job Description

Technical Responsibilities:

  • The design, care, and feeding of Big Data environments built upon technologies in the Hadoop Ecosystem
  • Day-to-day troubleshooting of problems and performance issues in our clusters
  • Investigate and characterize non-trivial performance issues in various environments
  • Work with Systems and Network Engineers to evaluate new and different types of hardware to improve performance or capacity
  • Work with developers to evaluate their Hadoop use cases, provide feedback and design guidance
  • Responsible for ongoing administration of Hadoop infrastructure.
  • Work with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users.
  • Performance tuning of Hadoop clusters and Hadoop MapReduce routines
  • Manage and monitor Hadoop connectivity, performance, security, log files
  • HDFS support and maintenance, capacity planning
  • Collaborating with application teams to install operating system and Hadoop updates, patches, version upgrades when required.

Required Skills:

  • Experience with Cloudera
  • Experience Hadoop system administration including HDFS, Yarn, MapReduce, Hive, Pig, HBase
  • In depth knowledge of configuration, capacity planning and tuning of services such as MapReduce, Hive, Yarn, HBase
  • In depth knowledge of HDFS file formats such as ORC, Avro, Parquet and others
  • Experience with data ingestion and streaming frameworks such as Sqoop, Flume, Kafka
  • General operational expertise and excellent troubleshooting skills, understanding of system capacity, bottlenecks, basics of memory, CPU, OS, storage, and networks
  • Experience with Kerberos (security)

Apply Now
Equal Opportunity Employer

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract