5 - 10 years

9 - 19 Lacs

Posted:1 hour ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Summary:

Big Data Administrator

Key Responsibilities:

  • Manage and maintain large-scale

    Big Data clusters

    (Cloudera, Hortonworks, or AWS EMR)
  • Develop and support

    infrastructure as code

    using

    Terraform

    or

    Ansible

  • Administer

    Hadoop ecosystem components

    HDFS, YARN, Hive (Tez, LLAP), Presto, Spark
  • Implement and monitor

    observability tools

    like Prometheus, InfluxDB, Dynatrace, Grafana, Splunk
  • Optimize

    SQL performance

    on Hive/Spark and understand query plans
  • Automate cluster operations using

    Python

    (PySpark) or

    Shell scripting

  • Support Data Analysts & Scientists with tools like

    JupyterHub, R-Studio, H2O, SAS

  • Handle data in various formats ORC, Parquet, Avro
  • Integrate with and support

    Kubernetes-based

    environments (if applicable)
  • Collaborate across teams for deployments, monitoring, and troubleshooting

Must-Have Skills:

  • 5+ years in

    Linux system administration

    and

    AWS cloud infrastructure

  • Experience with

    Cloudera, Hortonworks, or EMR

    in production
  • Strong in

    Terraform Ansible

    for automation
  • Solid hands-on with

    HDFS, YARN, Hive, Spark, Presto

  • Proficient in

    Python

    and

    Shell scripting

  • Familiar with

    observability tools

    : Grafana, Prometheus, InfluxDB, Splunk, Dynatrace
  • Familiarity with

    Active Directory

    , Windows VDI platforms (Citrix, AWS Workspaces)

Nice-to-Have Skills:

  • Experience with

    Airflow

    ,

    Oozie

  • Familiar with

    Pandas, Numpy, Scipy, PyTorch

  • Prior use of

    Jenkins, Chef, Packer

  • Comfortable reading code in

    Java, Scala, Python, R

Qualifications:

  • Bachelors or Masters degree in Computer Science, Information Technology, or a related field
  • Strong communication, collaboration, and troubleshooting skills
  • Ability to thrive in remote or hybrid work environments

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