Design develop and deploy endtoend data analytics and machine learning solutions using Dataiku DSS
Build and maintain scalable data pipelines for data ingestion transformation and integration from multiple sources
Collaborate with business stakeholders to understand requirements and translate them into technical solutions
Develop optimize and automate data workflows using Dataiku visual recipes Python SQL and APIs
Implement machine learning models feature engineering model validation and deployment within Dataiku
Integrate Dataiku with cloud platforms such as Azure AWS or Google Cloud Platform and enterprise data ecosystems
Ensure data quality governance security and compliance across all data processes
Monitor and troubleshoot production workflows models and data pipelines to ensure reliability and performance
Work closely with Data Engineers Data Scientists and Business Analysts to deliver datadriven solutions
Create reusable components plugins and automation frameworks to improve development efficiency
Support MLOps practices including model versioning deployment monitoring and retraining
Develop dashboards reports and analytical assets to support business decision-making
Participate in architecture discussions and recommend best practices for Dataiku platform utilization
Mentor junior team members and contribute to technical knowledge sharing within the team
Strong expertise in Dataiku DSS Python SQL ETL Machine Learning Data Modeling Cloud Platforms AzureAWSGoogle Cloud Platform Git APIs CICD MLOps and Data Governance is required
Key Skills
Dataiku DSS Python SQL Machine Learning ETL Data Engineering Data Pipelines MLOps Git REST APIs Azure AWS Google Cloud Platform Data Governance Data Visualization Agile Methodologies.
Skills
Mandatory Skills : Dataiku
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