Dataiku Engineer

Administer and manage the Dataiku platform, ensuring its availability, performance, and security.
Implement best practices for the setup, configuration, and maintenance of Dataiku.
Design, develop, and maintain data workflows and pipelines within Dataiku.
Utilize Dataiku's visual and code-based tools to integrate, transform, and analyze data from various sources.
Ensure data quality and integrity throughout the workflow processes.
Work closely with data scientists, data engineers, and business analysts to understand their requirements and provide Dataiku-based solutions.
Provide technical support and training to team members on the use of Dataiku.
Facilitate collaboration among team members by managing project permissions and ensuring efficient project workflows.
Develop and deploy machine learning models using Dataiku's built-in capabilities and integration with other ML libraries.
Monitor and optimize the performance of machine learning models and data pipelines.
Implement data visualization and reporting features within Dataiku to deliver insights to stakeholders.
Monitor the performance of data workflows and machine learning models.
Identify and resolve performance bottlenecks and optimize resource utilization within Dataiku.
Implement best practices for performance tuning and scalability.
Maintain comprehensive documentation of data workflows, models, and processes within Dataiku.
Establish and enforce best practices for using Dataiku, including coding standards, version control, and project organization.
Stay updated with the latest features and updates of Dataiku and incorporate them into the workflow.