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Job TITIle:- Databricks Cloud Admin Experience: 8 + Years Job Location : Santa Clara, CAWe are looking for a Databricks Administrator with Cloud Administration expertise inside and out.Responsibilities The candidate will work on building, scaling, and monitoring highly complex BigData platform on Databricks, Snowflake DB and ElasticSearch cloud. The candidate will work on building, scaling, and monitoring Data science and Client hosting platform based on Databricks. The candidate will be responsible for defining and implementing our Data platform, Data science workbench with Client hosting technology strategies in the Cloud. The candidate will also involve to design our architecture and define our roadmap. The candidate will be responsible to implement monitoring, alerting and observability solutions using CSP standard monitoring and analytical tools and also 3rd party tools like Zabbix and Datadog SaaS. The candidate has to be an expert in Docker and Cloud based containerization technologies. The candidate will also be responsible for building and improving our CI/CD pipelines and keeping themselves and their team up-to-date with the latest industry trends and technologies. Develop automation scripts in Terraform, YAML, Helm charts, az cli, aws-cli, Powershell and other cloud APIs. Participate in developer interaction calls and help. Participate in Management update calls and provide precise, timely updates. Skillset: Operations or systems administration experience, particularly on Linux. Hands-on administration experience, from setting up the Databricks environment to successfully administering it. Experience as the Databricks account owner, managing workspaces, Unity Catalog, audit logs, and high-level usage monitoring Experience as Databricks workspace admin, managing workspace users and groups including single sign-on, provisioning, access control, and workspace storage. Experience Databricks administration configuring and installing libraries Experience managing storage accounts access across a large user base Experience managing cluster and jobs, policies, templates, pools configuration options Experience with Databricks security and privacy setup Experience troubleshooting end user and platform-level issues Experience optimizing usage for performance and cost preferred Experience in strategizing and implementing Disaster recovery for BigData platforms based on Databricks. Ability to multitask and reprioritize tasking on the fly according to the needs of a growing platform and its stakeholders Strong coding skills in SQL and Python (PySpark) with experience optimizing code Assist in N/W, Data security, IAM initiatives. Work with n/w team to create PEs, troubleshoot network issues etc.