Dataiku Developer

Project context Role Overview: Design, develop, and maintain scalable data pipelines, analytics workflows, and machine learning solutions using Dataiku DSS. Goals and deliverables Key Responsibilities  Data Pipeline Development: Build end-to-end workflows for ingestion, preparation, enrichment, and transformation.  Analytics & ML Solutions: Deploy predictive models, integrate with MLOps/DataOps practices.  Collaboration: Work with data scientists, analysts, and business teams to enable data-driven decision-making.  Automation: Optimize workflows for performance and scalability.  Documentation: Maintain technical documentation for workflows, models, and pipelines. Required Skills  Strong expertise in Dataiku DSS for workflow and pipeline development.  Proficiency in Python, SQL, and data engineering concepts.  Experience in machine learning model deployment and data orchestration.  4–10 years of experience in data engineering/analytics