Job Title:
Cloudera Migration Specialist (On-prem to Azure)- C2H with Exp 14+Yrs @Bangalore, Hyderabad, Chennai
Job Description:
Key Responsibilities:
• Lead and execute the migration of Cloudera workloads (HDFS, Hive, Spark, Impala, HBase, etc.) from on-premise infrastructure to Azure.
• Assess the existing Cloudera cluster, identify dependencies, and prepare a detailed migration roadmap.
• Develop and implement data migration scripts, workflows, and cloud-native configurations.
• Design and deploy equivalent services on Azure using Azure HDInsight, Azure Data Lake, Azure Synapse, or other relevant services.
• Ensure data integrity, performance tuning, and post-migration validation.
• Collaborate with infrastructure, security, and DevOps teams to ensure compliance and automation.
• Prepare and maintain documentation of the migration plan, architecture, and troubleshooting playbooks.
• Provide knowledge transfer and training to internal teams post-migration.
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Required Skills & Experience:
• 3–4 years of hands-on experience with Cloudera (CDH/CDP) ecosystem components (e.g., HDFS, YARN, Hive, Spark, Impala, HBase).
• Proven experience in Cloudera cluster migrations, preferably to cloud platforms like Azure.
• Solid understanding of cloud-native equivalents and data architectures on Azure.
• Experience with Azure services such as HDInsight, Data Lake Storage, Synapse Analytics, Blob Storage.
• Proficiency in Linux system administration, shell scripting, and automation tools.
• Strong problem-solving and troubleshooting abilities in distributed data environments.
• Familiarity with security controls, Kerberos, Ranger, LDAP integration, and data governance
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Preferred Qualifications:
• Cloudera Certified Administrator / Developer.
• Experience with Azure DevOps, Terraform, or Ansible for infrastructure provisioning.
• Knowledge of disaster recovery planning and HA architectures on Azure.
• Familiarity with performance tuning in cloud vs. on-prem Hadoop environments
Job Location:
Bangalore, Hyderabad, Chennai, Noida, Pune
Skill:
HDFS, Hive, Spark, Impala, HBase, Azure
