Data preparation, analysis, and machine learning workflows using Dataiku.
Creating and managing Dataiku projects, including data pipelines, recipes, and dashboards.
Integrating external data sources (e.g. Box) into Dataiku workflows.
Data manipulation, analysis, and automation using Python.
Writing Python scripts to connect and interact with APIs, cloud storage, and databases.
Using Box APIs to programmatically access and manage files.
Querying and managing data in Amazon Redshift.
Designing and optimizing Redshift schemas and tables for efficient data storage and retrieval.
Using GitHub for version control and collaboration, managing repositories, branching strategies, and pull requests.
Advanced data visualization and analytics using Spotfire, creating interactive dashboards and visualizations for business insights.
requirements-expected :
Ability to analyze large datasets to extract meaningful insights and trends.
Proficiency in statistical analysis and predictive modeling.
Strong problem-solving skills to address data-related challenges and optimize workflows.
Experience in creating clear and impactful visualizations using Python and Spotfire.
Proficiency in using Dataiku for data preparation, analysis, and machine learning workflows, creating and managing Dataiku projects, including data pipelines, recipes, and dashboards.
offered :
A full-time contract (B2B also possible)
Stable and long-term cooperation
Well-defined career path at the European leader in engineering & IT consulting
Participation in company conferences, trainings, workshops, integration meetings, etc.
Certification and training opportunities
Opportunity to relocate and work in different ALTEN PolskabranchesAfter completion of the project, opportunity to engage in a subsequent one within the company.
Introduction and cooperation with dedicated Business Development Manager
