Big Data Hadoop Expert

Big Data Hadoop Expert

Job Description

  • Devoted Hadoop Administrator to help with Technical Guidance and Architecture on Hortonworks Data Platform (HDP) and Hortonworks Data Flow (HDF)
  • Commitment for HDP/HDF Cluster Planning, Architecture Design, Review, Validation and Performance Optimization as required
  • Commitment for HDP Security execution with Kerberos, Knox, Ranger, KMS, and so on.
  • Supporting group on Data Ingestion into existing HDP utilizing HDF and other HDP parts (Kafka, Storm, Spark, and so on.)
  • Supporting group on Data Governance and Data Quality utilizing HDP Components and Integration
  • Application Deployment, Data Ingestion, Data Storage and Data Access Authorization (Sqoop, PIG, Hive, HBase, and so on.)
  • HDP/HDF Platform Administration and checking (Ganglia, Nagios, Splunk Dashboards and so on) suggestions and usage
  • Guaranteeing Availability and Reliability of Data and Analytics Systems
  • Help on Cluster Upgrade and Versioning; best works on (Rolling and Express Upgrades)
  • Catastrophe Recovery: Associated Architecture; Data Replication; RTO/RPO
  • Need to work with Customers utilitarian groups for Hadoop configuration best practices as required
  • Add to new Product approval, usage and Knowledge Transfer (KT)
Profile Mandatory Skills/Experience

  • Solid Knowledge of Bigdata Architecture and Administrator's job
  • Mastery in introducing Hadoop Cluster and its related parts
  • Arrangement and Performance Tuning of Hadoop Cluster
  • Oversee, Maintain, Monitor and Troubleshoot Hadoop Clusters
  • Information Ingestion, Data Access and Data stockpiling
  • Application Deployment and Disaster Recovery
  • Involvement in Hadoop Upgrade
  • Bunch Connectivity, Security, Backup and Disaster Recovery
  • Great Scripting learning in UNIX Shell/Perl
  • Magnificent relational abilities

Company Profile:

Salary: Not disclosed

Industry: Banking / Financial services / Broking

Functional Area: Web Technologies

Role Category:

Employment Type: Full time

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