Job description
Company culture :
Capgemini is characterized by a predominantly collaborative culture, placing people, trust and teamwork at the core of its practices. A close management approach fosters guidance, empowerment and skills development within a supportive environment. This culture is reinforced by a strong organizational dimension, ensuring process rigor, reliability and operational efficiency. It is complemented by a competitive component focused on performance and customer satisfaction, while a more moderate innovation dimension supports the continuous evolution of services and expertise.
Job :
Within our project teams, you will contribute to the development of innovative digital solutions for major clients in the banking, insurance, energy, and industry sectors. You will join a multidisciplinary team, organized in an Agile mode, working on projects with significant business impact.
As a Data Tester, you will be involved in various missions such as:
- Define the test strategy in a Data/Big Data context: scope, test types, entry and exit criteria.
- Design and execute Data tests (data quality, transformations, flows, integration, end-to-end).
- Analyze results and investigate anomalies, in collaboration with Data Engineers and Data Analysts.
- Write reports and track quality KPIs, ensuring smooth communication with project teams.
- Work in Agile mode (sprints, refinements, pair testing) and contribute to the continuous improvement of testing processes.
Required profile :
- Strong command of SQL and good ability to analyze data in Big Data environments.
- Knowledge of Python to read, understand, and adjust scripts or notebooks.
- Experience with Data platforms such as Databricks, Azure Data Lake, Azure DevOps or equivalents.
- Understanding of Data architectures (pipelines, ingestion, transformation, data models) and quality challenges.
- Significant experience in Data testing or in a role combining quality and Data, with an analytical mindset and strong rigor.