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9 Hours Ago
India
Remote
426 Employees
Senior level
426 Employees
Senior level
Cloud • Analytics
As a Senior Support Administrator at Pythian, you will support managed database infrastructures and application operations. Responsibilities include mentoring, collaborating on long-term roadmaps, staying updated with technologies, and resolving complex issues. You will work closely with team leads to enhance reliability and efficiency across Pythian systems.
2 Days Ago
India
Remote
426 Employees
Mid level
426 Employees
Mid level
Cloud • Analytics
The Senior HubSpot Administrator will lead the technical configuration of HubSpot's Website and Marketing Hub, focusing on integrating third-party systems, optimizing performance, and maintaining data integrity. Responsibilities include troubleshooting support, collaborating with IT and marketing teams, proposing improvements, and managing HubSpot features to meet business needs.
426 Employees
Mid level
Cloud • Analytics
The Senior HubSpot Administrator will lead the technical configuration of HubSpot, managing its Marketing and Content Hubs, ensuring data integrity and system performance. Responsibilities include troubleshooting integrations, analyzing data trends, supporting users, and collaborating with teams to enhance HubSpot functionalities while documenting processes and communicating with stakeholders.
14 Days Ago
India
Remote
426 Employees
Mid level
426 Employees
Mid level
Cloud • Analytics
The Oracle DBA will support managed database and application infrastructure for clients, design and implement database solutions, troubleshoot operational problems, administer backup and disaster recovery plans, and mentor teammates. The role involves evaluating customer systems, ensuring maximum uptime, and responding to monitoring alerts effectively.
18 Days Ago
India
Remote
426 Employees
Mid level
426 Employees
Mid level
Cloud • Analytics
As a Machine Learning Engineer at Pythian, you will focus on building and optimizing machine learning pipelines, deploying models to production, ensuring scalability and reliability, integrating machine learning models, and collaborating with cross-functional teams. Responsibilities include designing and maintaining ML pipelines, deploying models, optimizing performance, integrating with cloud platforms, implementing monitoring systems, and staying updated on ML advancements.
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