Call center Offres d'emploi - Athis-Mons (91)

Urgent requirement at Paris location for the role of Senior Dataiku Developer .

Rate : 600 to 620 EURO.

As part of the Data & Analytics team, the Senior Dataiku Developer is responsible for designing, developing, industrializing, and maintaining data pipelines within the Dataiku DSS platform. The role also involves supporting business teams and end users, ensuring the reliability, quality, and performance of data solutions, while acting as a subject matter expert for Dataiku-related initiatives.

Key Responsibilities

Dataiku Pipeline Development & Industrialization

• Design, develop, and maintain end-to-end data pipelines using Dataiku DSS.
• Build data preparation, transformation, integration, and enrichment workflows.
• Develop Dataiku recipes using Visual Recipes, Python, SQL, and Spark when required.
• Optimize data processing performance and ensure scalability, robustness, and maintainability.
• Automate business processes and orchestrate workflows through Dataiku Scenarios.
• Implement development standards, coding best practices, testing strategies, and version control.
• Participate in deployment activities across development, test, and production environments.
• Collaborate with Data Engineers and Solution Architects to support enterprise data initiatives.

Data Quality & Governance

• Ensure data quality, consistency, completeness, and traceability.
• Implement data validation, reconciliation, and monitoring processes.
• Define and monitor KPIs related to data quality and platform performance.
• Contribute to data governance, metadata management, and documentation efforts.
• Ensure compliance with data security and governance standards.

Business & User Support

• Provide expert-level support for Dataiku applications, workflows, and production pipelines.
• Analyze, troubleshoot, and resolve incidents, service requests, and operational issues.
• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
• Facilitate workshops with business and technical teams.
• Assist users in leveraging Dataiku capabilities effectively.
• Deliver user training, onboarding sessions, and knowledge-sharing activities.
• Manage enhancement requests and support continuous platform adoption.

Collaboration & Continuous Improvement

• Work closely with Data Engineers, Data Scientists, Data Analysts, Product Owners, and business teams.
• Participate in Agile ceremonies and cross-functional initiatives.
• Conduct code reviews and promote best practices across the team.
• Identify opportunities for process automation and platform optimization.
• Contribute to technology watch activities and recommend innovative solutions.

Required Technical Skills

Dataiku Expertise

• Advanced expertise in Dataiku DSS.
• Proven experience building and maintaining complex Dataiku projects.
• Strong knowledge of:
  • Dataiku Flows
  • Visual Recipes
  • Python Recipes
  • SQL Recipes
  • Scenarios and Automation
  • API Services
  • Deployment and Production Automation
• Experience supporting and troubleshooting Dataiku production environments.

Data Engineering

• Advanced SQL development skills.
• Strong Python programming experience.
• Experience handling large-scale datasets.
• Knowledge of ETL/ELT architectures and best practices.
• Understanding of Data Warehouse, Data Lake, and Lakehouse architectures.
• Familiarity with Spark and distributed data processing frameworks.

Technical Environment

• Git / GitLab.
• Linux environments.
• REST APIs.
• CI/CD concepts and tools.
• Cloud platforms such as Azure, AWS, or GCP.
• Monitoring and logging tools.
• Experience with ticketing platforms such as Jira or ServiceNow.

Soft Skills

• Strong analytical and problem-solving capabilities.
• Excellent communication and stakeholder management skills.
• Customer-service mindset and focus on user satisfaction.
• Ability to bridge business requirements and technical solutions.
• Strong organizational skills and attention to detail.
• Ability to work independently while collaborating effectively within teams.
• Experience working in Agile environments.
• Mentoring and coaching abilities for junior team members and business users.

Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Minimum 5 years of experience in Data Engineering, Analytics, or Data Development roles.
• Minimum 3 years of hands-on experience with Dataiku DSS.
• Demonstrated experience in:
  • Data pipeline development
  • Data transformation and integration
  • Production support
  • Business user support
  • Platform industrialization and automation
• Experience working in enterprise-scale data environments.

Required Certifications

Mandatory

• Dataiku Core Designer Certification
• Dataiku Advanced Designer Certification

Preferred

• Dataiku Developer Certification
• Dataiku Machine Learning Practitioner Certification
• Dataiku MLOps Practitioner Certification
• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Microsoft Certified: Azure Fundamentals (AZ-900)
• Databricks Certified Data Engineer Associate
• AWS Certified Data Analytics Specialty or Google Professional Data Engineer
• ITIL Foundation Certification
• Professional Scrum Master (PSM I) or Certified ScrumMaster (CSM)

Certification Expectations

• Active and valid Dataiku certifications demonstrating expertise with Dataiku DSS.
• Continuous learning mindset with commitment to maintaining certifications and staying current with platform releases and industry best practices.
• Ongoing professional development in Data Engineering, Analytics, Cloud Platforms, Data Governance, and MLOps.

Expected Deliverables

• Production-ready and fully documented Dataiku pipelines.
• Technical and functional documentation.
• Data quality monitoring and operational dashboards.
• Deployment packages and release documentation.
• Support procedures, runbooks, and knowledge base articles.
• User training materials and adoption guides.
• Continuous improvement recommendations for the Dataiku platform and data processes.

Seniority Level

Senior / Expert Dataiku Developer

The successful candidate will operate autonomously across the full data lifecycle, from design and development through deployment, support, and optimization, while serving as a trusted advisor for business users and a technical reference for Dataiku platform capabilities.