Years of Experience 05 to 07 Years (Min. 5 years in relevant experience)
We are looking Candidate in Local @ Visakhapatnam or A. P. Only.
Key Responsibilities -
1. Dedicated Hadoop Administrator to assist with Technical Guidance amp; Architecture on Horton works Data Platform (HDP) and Horton works Data Flow (HDF)
2. Contribution for HDP/HDF Cluster Planning, Architecture Design, Review and Validation amp; Performance Optimization as required
3. Contribution for HDP Security implementation with Kerberos, Knox, Ranger, KMS, etc.
4. Supporting team on Data Ingestion into existing HDP using HDF and other HDP components (Kafka, Storm, Spark, etc.)
5. Supporting team on Data Governance and Data Quality using HDP Components and Integration
6. Application Deployment, Data Ingestion, Data Storage amp; Data Access Authorization (Sqoop, PIG, Hive, HBase, etc.)
7. Ensuring Availability and Reliability of Data amp; Analytics Systems
8. Assistance on Cluster Upgrade and Versioning; best practices (Rolling amp; Express Upgrades)
9. Disaster Recovery: Associated Architecture; Data Replication; RTO/RPO
10. Need to work with Customer's functional teams for Hadoop design best practices as required
11. Contribute to new Product validation, implementation amp; Knowledge Transfer (KT)
12. Knowledge on Cloudera Data Platform(CDP) is required.
Requirements
Mandatory Skills / Experience-
1. Strong Knowledge of Big data Architecture amp; Administrator's role
2. Strong knowledge in basic Linux Commands
3. Expertise in installing Hadoop Cluster and its related components
4. Configuration and Performance Tuning of Hadoop Cluster
5. Manage, Maintain, Monitor and Troubleshoot Hadoop Clusters
6. Data Ingestion, Data Access amp; Data storage
7. Application Deployment and Disaster Recovery
8. Experience in Hadoop Upgrades
9. Cluster Connectivity, Security, Backup and Disaster Recovery
10. Good Scripting knowledge in UNIX Shell/ Perl
11. Excellent communication skills
12. Ability to work independently with a strong attention to detail
13. Ability to work well in a global team environment
14. Working knowledge of Python amp; Ansible
15. Knowledge on Automation Tools