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. [+]

Within our project teams, you will contribute to the development of innovative digital solutions for major clients in the banking, insurance, energy, and industrial sectors. You will join a multidisciplinary team, organized in an Agile mode, working on projects with a strong business impact.

As a Data Tester, you will be involved in various missions such as:

• Define and implement the test strategy for Data projects (Data Warehouse, Data Lake, ETL pipelines).
• Design and execute test plans to validate data quality and consistency.
• Automate tests (volume, integrity, compliance) using SQL and dedicated tools.
• Identify, document, and track anomalies in collaboration with Data Engineering teams.
• Ensure the application of good Data Quality practices and contribute to the continuous improvement of processes.
 

• Degree in Computer Science, Data, or QA.


• Experience in functional and automated testing in a Data context.


• Proficiency in SQL and database concepts (relational and Big Data).


• Knowledge of ETL tools (Talend, SSIS, Dataiku) and Big Data environments (Hadoop, Spark).


• Ability to define test strategies, rigor, and excellent communication with technical and business teams.