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Big Data Administrator

 

     Position / Designation: Big Data Administrator

Experience:  3 to 5 years 

Qualification: Any Graduate 

Job Type: Permanent with SRIK  ||   Job location: Bangalore // Pune 

Big Data Administration experience on below technologies.

1.      Azure Data lake Gen 1 

2.     Azure Data Factory

3.     Kubernetes 

4.     Apache Airflow 

5.     Apache Hive 

6.     Apache Spark  

Key Skills / Responsibilities: 

Azure resources creation for the spring Boot or other modules through   terraform scripts, which were being in the bit bucket repo.

·       Azure Kubernetes, clusters level in all prod and non-prod regions workloads with svc, ingress through yaml files of jenkins job auto deployment.

·       App gateway integration with AKS clusters of ingress ip's routing values, along with health actuators of prod and non-prod customised domain URL's.

·       Storage accounts integration with key vaults of the Service principals.

·       metrics logging integration with datadog for the aks clusters through scripts and commands.

·       Service bus integration of queues, topics->subscriptional filters with module specific.

  • Deploying a Hadoop cluster, maintaining a Hadoop cluster, adding and removing nodes using cluster monitoring tools like Ganglia Nagios or Cloudera Manager etc.
  • Monitor Hadoop cluster connectivity and security.
  • Monitor the health of the platforms Generate Performance Reports and Monitor and provide continuous improvements.
  • Perform optimization, debugging and capacity planning of a Big Data cluster
  • Working closely with development, engineering and operation teams, jointly work on key deliverables ensuring production scalability and stability.
If interested send profile in word format with current & expected ctc and notice period to srikconsulting@yahoo.com | +91 7396682593

Comments

  1. python.dataSeptember 30, 2026 at 2:08 AM

    GREAT

    ReplyDelete
  2. python.dataSeptember 30, 2026 at 2:08 AM

    A **Big Data Administrator** is responsible for managing and maintaining systems that store and process large amounts of data. Their work includes configuring and monitoring big-data platforms, managing storage and computing resources, checking system performance, handling user access and security, and troubleshooting technical issues. Airflow Course.They may work with technologies such as **Hadoop, HDFS, Hive, Spark, and cloud platforms** depending on the organization. The main objective is to keep the big-data environment stable, secure, and available so that data engineers, analysts, and other users can process and access data efficiently.

    ReplyDelete

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