Design develop and deploy scalable data and analytics solutions using the Dataiku platform
Build and maintain endtoend data pipelines for data ingestion transformation and preparation
Develop machine learning models and operationalize them using Dataiku DSS
Collaborate with business stakeholders to understand requirements and translate them into technical solutions
Integrate Dataiku with cloud platforms such as Azure AWS or Google Cloud Platform and enterprise data sources
Implement data quality governance security and compliance standards across projects
Develop reusable workflows automation scripts and data processing components
Optimize data pipelines and machine learning workflows for performance and scalability
Work with structured and unstructured datasets including databases APIs and data lakes
Monitor troubleshoot and improve production data and AI solutions
Collaborate with Data Engineers Data Scientists Architects and business teams in Agile environments
Create technical documentation design specifications and operational runbooks
Support CICD implementation and MLOps best practices for model deployment and monitoring
Mentor junior team members and contribute to technical best practices and innovation initiatives
Stay updated with emerging trends in Dataiku data engineering AIML cloud technologies and advanced analytics
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