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The CTS Enterprise Analytics Services organization is seeking a skilled and proactive Starburst and Business Intelligence Tools Administrator Operations Lead to manage, maintain, and optimize our enterprise data query platform and oversee Tableau, Cognos and MicroStrategy environments.
Job Responsibility:
Starburst Administrator should be responsible for administering, supporting, governing and maintenance activities
Install, configure, and manage Starburst software to utilize the AI and machine learning toolset provided for reporting, collecting analytics, and forecasting industry trends
Manage system availability, reliability, and failover strategies
Implement and tune resource groups, query limits, and optimization rules
Should be able to handle large scale data sources in optimized manner
Monitor Starburst servers’ activity/usage statistics to identify possible performance issues and enhancement opportunities
Cluster tuning, monitoring and analysis and optimization of Starburst query plans
Collection, debugging and analysis of logs and Java thread dumps from Splunk
Troubleshoot Starburst issues regarding users access, query failures and performance
Manage user access, authentication (LDAP, SSO), and role-based access control (RBAC)
Ensure audit logging, compliance with enterprise security and data privacy policies
Configure and maintain catalogs for heterogeneous data sources (Hive, Iceberg, Delta Lake, RDBMS)
Troubleshoot connectivity and metadata issues with data lake or warehouse sources
Integration of Starburst to SAS / Tableau interface
Administering, supporting, governing and maintaining multiple Tableau, Cognos and MicroStrategy environments in Business Intelligence Tools team
Install, configure, upgrades, and patch Tableau Server/Tableau Cloud
Analyze Cognos systems architecture for a business and execute platform patching and upgrades
Configure database instance, user setup, and security and governance settings for MicroStrategy platform
Lead incident response and root cause analysis for production issues
Automate cluster provisioning, monitoring, and routine operations
Collaborate with cross-functional engineering teams to build a portfolio of capabilities for recommendation and use in analytical product development
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