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Remote Dataiku Jobs in Connecticut (NOW HIRING)

PROLIM Global Corporation

Dataiku Engineer

Stamford, CT · On-site +1

Stamford, CT/Remote Job Type: Long Term Contract Mandatory Skill: Dataiku Engineering experience ROLE DESCRIPTION: * Collaborate closely with the team to review, challenge, and optimize pipeline ...

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Remote Dataiku information

What is the difference between Remote Dataiku vs Data Analyst?

AspectRemote DataikuData Analyst
Required CredentialsDataiku certifications, data science skillsDegree in statistics, data analysis, or related field
Work EnvironmentRemote, collaborative data science platformsOffice or remote, data interpretation and reporting
Industry UsageData science, analytics, AI projectsBusiness intelligence, reporting, data interpretation

Remote Dataiku involves working with the Dataiku platform to build data pipelines and machine learning models remotely, often requiring technical certifications. Data Analysts focus on interpreting data, creating reports, and providing insights, typically with a background in statistics or business intelligence. While both roles work with data, Remote Dataiku emphasizes technical platform skills, whereas Data Analysts focus on data interpretation and reporting.

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Remote Dataiku jobs near you

Dataiku Engineer

PROLIM Global Corporation

Stamford, CT • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Name: Dataiku Engineer
Job Location: Stamford, CT/Remote
Job Type: Long Term Contract
Mandatory Skill: Dataiku Engineering experience
ROLE DESCRIPTION:
  • Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.
  • Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
  • Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
  • Ensure solutions align with enterprise data governance, security, and compliance standards.
  • Act as a technical advisor to the Data Management team, contributing to solution design and delivery.
  • Document architectural decisions and promote knowledge sharing across the team

Qualifications:
  • 5+ years in data architecture, engineering, or related roles.
  • Proven experience as a Data Architect in enterprise environments, ideally in financial services.
  • Strong proficiency in Dataiku (DSS), with experience designing production-grade data pipelines and workflows.
  • Solid understanding of ETL/ELT, data modeling, and SQL.
  • Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.).
  • Strong knowledge of Python and SQL scripting; experience with API integrations.
  • Ability to evaluate multiple implementation approaches and recommend optimal solutions.
  • Exposure to data visualization and data engineering practices.
Excellent communication skills, with the ability to mentor

Apply