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