Data engineer snowflake

Choosing Capgemini means choosing a company where you will have the freedom to shape your professional career as you wish, with the support and inspiration of a collaborative community of colleagues around the world. Here, you can reinvent what is possible. Join us and help the world’s leading organizations discover the value of technology and build a more sustainable and inclusive world.

• You will play a key role in the evolution of our data platform, evaluating and optimizing the capabilities of tools such as Snowflake, Collibra, and other solutions in the Data ecosystem.
• You will work alongside Architecture, Data Governance, and Analytics teams to identify opportunities for improvement, promote best practices, and contribute to defining our clients’ data technology strategy.

• We are looking for someone with experience as a Data Engineer or Data Platform Engineer, with a technical profile and a hands-on approach.
• The ability to analyze existing data platforms, challenge the status quo, and propose innovative solutions that deliver business value.
• Knowledge of Snowflake and cloud data platforms.
• Knowledge of data governance and tools such as Collibra.
• Knowledge of SQL and Python.
• Knowledge of ETL/ELT processes and data integration.
• Knowledge of data modeling and architecture.
• Knowledge of Data Quality, Metadata Management, and Data Lineage.
• Будет плюсом: Experience evaluating and implementing new Data solutions; Knowledge of Data Mesh, Data Fabric, or modern data architectures; Certifications in Snowflake, Cloud, or Data Engineering; The ability to communicate and influence technical and architecture teams; An innovative mindset and a focus on continuous improvement

• We value all applications and offer in-person and online training, as well as certifications.
• Varied and challenging projects: You will work on cross-industry challenges, avoiding routine and gaining exposure to diverse technologies.
• Flexibility and a hybrid model: A culture focused on work-life balance.
• Continuous learning: Training in cloud technologies, data governance, visualization, and more.
• Real participation in projects involving generative AI, Business AI, and emerging data technologies.
• Diverse clients and constant innovation: Projects with a real impact at leading organizations.
• Collaborative and inclusive environments: Dynamic, multicultural teams focused on growth.
• Professional growth and technical challenge: Autonomy, mentoring, certifications, and opportunities to expand your role within the Data & AI area.