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Job Description

Description :



Desired Competencies (Technical/Behavioral Competency).



Must-Have :



- Databricks Platform Administration including environment setup, user and group management, access control configuration and familiarity with networking and firwall rules.



- Cluster and Resource Management.



- Operational Support strong troubleshooting skills, backup and recovery, Rest APIs.



- Security and Compliance IAM, ACL, Unity Catalog.



- Integration with data warehouses, cloud storage, data pipeline orchestration.



- Automation using Terraform, CI/CD pipelines.



Good-to-Have :



- DataBricks Certification.



SN Responsibility of / Expectations from the Role :



- Implement, and maintain the Databricks platform, including workspace setup, user and group management, access control, and security configurations.



- Install, configure, and maintain Databricks clusters and workspaces.



- Monitor and manage cluster performance, resource utilization, and platform costs.



- Provide technical support to data engineering, data science, and application teams.



- Perform restores/recoveries, troubleshoot service issues, and resolve platform-related problems.



- Implement and manage access controls and security policies to protect sensitive data.



- Ensure compliance with relevant data governance and regulatory requirements.



- Manage and maintain connections between Databricks and other data sources like Snowflake.



- Optimize data pipelines and workflows.



- Develop and maintain automation scripts and tools for platform provisioning and routine tasks using Terraform.



Type Details of The Role (For Candidate Briefing) :



- Reporting To Which Role : Service Delivery Manager.



- Size of the Team, if any Reporting to this Role : N/A.



- On-site Opportunity : None.



- Unique Selling Proposition (USP) of The Role : Opportunity to work directly with customer, Enterprise Data platform administration opportunity.



Details of The Project :



- Customer is trying to setup an enterprise scale data platform that can power data engineering, machine learning and analytics.



- Administrator is expected to ensure platform stability and availability along with cost optimization, security and compliance.



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