Consultant Dataiku
@ WHIZE

Île-de-France, France
€80,000
On Site
Full Time
Posted 1 day ago

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Job Details

Overview

Welcome To The World Of Whizdom! Whize, a subsidiary of the Neurones group, specializes in Data Intelligence and custom solutions in Serverless architecture. With expertise in Modern BI, Data Engineering, and Cloud Native Development, we support a diverse range of clients including large accounts.

Key Responsibilities

  • Analyze business and technical needs for Dataiku projects.
  • Design, develop, and optimize Dataiku DSS workflows for data preparation, transformation, and automation.
  • Integrate varied data sources such as SQL databases, flat files, APIs, ERP, and CRM systems.
  • Establish robust processes for data cleaning, enrichment, and quality governance.
  • Implement and industrialize machine learning models in Dataiku.
  • Optimize processing performance and document data flows.
  • Train and support users in leveraging Dataiku for data value extraction.
  • Stay updated on Dataiku and the broader Data Science/BI ecosystem.

Profile

Candidates should have experience in Business Intelligence, Data Engineering, or Data Science with proficiency in Dataiku DSS, strong SQL skills, and knowledge in Python or R. Experience in multi-source data integration and workflow optimization is essential. An analytical mindset, rigour, and service orientation are key.

Why Join Consultant Dataiku at Whize?

  • Be part of a human-sized company with the benefits of a large group.
  • Work directly with a hundred clients including major accounts.
  • Receive management directly from the CEO, THE WHIZE MAN.
  • Collaborate in a dynamic, startup-like, and convivial environment.
  • Engage in high value-added projects with opportunities for career growth.

Key skills/competency

  • Dataiku DSS
  • SQL
  • Python
  • Data Engineering
  • Business Intelligence
  • Machine Learning
  • Workflow Design
  • Cloud Native
  • Data Integration
  • Data Preparation

How to Get Hired at WHIZE

🎯 Tips for Getting Hired

  • Research Whize's culture: Study their mission, success stories, and tech focus.
  • Customize your resume: Highlight Dataiku and data workflow experiences.
  • Prepare for technical questions: Brush up on SQL, Python, and Dataiku projects.
  • Network with employees: Use LinkedIn for insights and referrals.
  • Practice real-world scenarios: Engage with case studies and portfolio projects.

📝 Interview Preparation Advice

Technical Preparation

Review Dataiku DSS features and functions.
Practice SQL query optimization tasks.
Brush up Python scripting for data tasks.
Experiment with API and ERP data integration.

Behavioral Questions

Describe a challenging project and resolution.
Explain teamwork in multi-disciplinary settings.
Share conflict resolution strategies used previously.
Discuss how you manage project deadlines.

Frequently Asked Questions