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Technical Associate Data Iku

  • ... Posted on: Oct 29, 2025
  • ... VDart Inc
  • ... Alpharetta, Georgia
  • ... Salary: Not Available
  • ... Full-time

Technical Associate Data Iku   

Job Title :

Technical Associate Data Iku

Job Type :

Full-time

Job Location :

Alpharetta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Role: Technical Associate Data IKU

Location: Alpharetta, GA or Cincinnati, OH (onsite)

Duration Full Time

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.

Jobcon Logo Position Details

Posted:

Oct 29, 2025

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-37b2b6a0bcfaeadc588eee3a6f9aca4637a2e8cb6dfede9b09c895fd85c60ee9

City:

Alpharetta

Job Origin:

CIEPAL_ORGANIC_FEED

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Role: Technical Associate Data IKU

Location: Alpharetta, GA or Cincinnati, OH (onsite)

Duration Full Time

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.

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