Application Analyst

Description:

Duties:

• Perform routine maintenance tasks, such as software updates, patch installations, and system configurations, to ensure the stability and security of the CDP environment.

• Develop and maintain technical documentations, user guides, and training materials to support users in using the CDP platform.

• Work with Big Data and Business Intelligence technologies.

• Understanding of CDP Public Cloud Base and Data Services from architecture level.

• Support end user issues from CDP as well as infrastructure side and able to provide temporary/permanent fixes.

• Work on access requests, incidents and change management process using ticketing systems like Service Now.

• Should be able to administer and audit CDP User access and data management from various endpoints/levels like Console, Ranger, Virtual Warehouse, Data Visualization.

• Upgrading/Patching Cloudera Data Lake, Data Hub, Data Warehouse, Virtual Warehouse, Data Visualization.

• Take backups of Cloudera Data Lake, Data Hub, Data Warehouse, Virtual Warehouse, Data Visualization.

• Should be able to migrate applications/data from Development to Production Environments.

• Understanding, troubleshooting and fixing issues encountered in SSSD, Free IPA, Azure IDP.

• Understanding, troubleshooting and fixing issues encountered in HDFS, Yarn, Ranger, Hive, Impala, Sqoop, Hue, Cloudera Data Warehouse, Cloudera Data Visualization.

• Understanding, troubleshooting and fixing issues encountered in Azure Kubernetes Services, Azure Single/Flexible Postgres DB.

• Should be able to manage Azure VM's, Storage Accounts, Private Subnets, Private Endpoints, Cost Explorer, Quotas, Identities/Roles.

• Knowledge of managing RHEL OS, Salt orchestration is essential.

• Build and optimize data warehouses, data lakes, ensuring efficient storage and retrieval system for analytical needs.

• Design and create CDP DataViz dashboards and custom reporting with various data sources and inputs.

• Provide depth and insight to data produced by the various teams and transform them into meaningful analytics for decision making.

• Analyze data and prepare information results.

• Gather and document client requirements.

• Escalate issues and risks, as appropriate.