Overview
Skills
Job Details
Primary Skills 1 Required :Advanced - Professional with high knowledge, significant ability and hands-on experience. Can provide supervision to others in DataIku/Python
Primary Skill 2 Required :Advanced - Professional with high knowledge, significant ability and hands-on experience. Can provide supervision to others in AI/ML
Secondary Skill 1 Required : Advanced - Professional with high knowledge, significant ability and hands-on experience. Can provide supervision to others in AWS
Secondary Skill 2 Required : Experienced & Practioner with Basic knowledge with demonstrated hands-on experience. Requires no / minimal supervision in Devops CI/CD
Delivery Skills required are :
Lead the architecture, design, and development of enterprise Dataiku workflows, pipelines, and ML solutions.
Oversee data pre processing, transformation, and feature engineering for structured and unstructured datasets at scale.
Collaborate with AI/ML teams to develop, train, deploy, and monitor machine learning models in production.
Automate workflows and pipelines using Python scripting, ensuring scalability, maintainability, and efficiency.
Integrate Dataiku workflows with AWS services: S3, Glue, Lambda, EC2, Redshift, and other cloud analytics services.
Establish and enforce DevOps/CI-CD practices for automated deployment, testing, version control, and monitoring of Dataiku projects.
Ensure data quality, governance, compliance, and security across all pipelines and ML workflows.
Provide technical leadership and mentorship to senior, mid-level, and junior engineers.
Collaborate with C-level executives, business stakeholders, and analytics teams to define enterprise data strategy and roadmap.
Contribute to enterprise data architecture standards, best practices, and governance policies.
Drive performance optimization, cost efficiency, and scalability for enterprise Dataiku deployments.