COMPANY :
Capgemini is a global, responsible, and multicultural leader, with 325,000 people in over 50 countries. As a strategic partner for businesses transforming their activities by leveraging the full power of technology, the Group is guided daily by its purpose: to unleash human energy through technology for an inclusive and sustainable future.
With 55 years of experience and strong expertise in various business sectors, Capgemini is recognized by its clients for meeting all their needs, from strategy and design to operations management, by harnessing innovations in the ever-evolving fields of cloud, data, Artificial Intelligence, connectivity, software, digital engineering, and platforms. The Group achieved a turnover of 18 billion euros in 2021.
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 implementing data integration solutions for large clients in the banking, insurance, energy, and industrial sectors. You will join a multidisciplinary team, organized in an Agile mode, working on projects with significant business impact.
As a DataStage Engineer, you will be involved in various tasks such as:
- Designing, developing, and maintaining ETL flows with IBM DataStage.
- Participating in data modeling and optimizing processing performance.
- Ensuring data quality, traceability, and security throughout the lifecycle.
- Collaborating with BI, Data Science, and Architecture teams to meet business needs.
- Contributing to the industrialization of integration processes (automation, monitoring, documentation).
- Providing technical guidance to junior profiles and participating in technological watch.
Required profile :
- Graduate of a Bac+5 (Master's degree or equivalent) in computer science.
- Proven experience (>= 5 years) in a similar role.
- Proven experience in ETL development with IBM DataStage.
- Good knowledge of relational databases (Oracle, DB2, SQL Server, etc.).
- Proficiency in SQL, data integration concepts, and data architectures.
- Knowledge of cloud environments (Azure, GCP, AWS) is a plus.
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Analytical mind, autonomy, rigor, and teamwork skills.
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