Join Capgemini as a Snowflake Data Engineer and shape your career within a global, collaborative community. We empower you to reimagine possibilities and help leading organizations unlock the value of technology for a more sustainable and inclusive world.

This role offers the chance to work on cutting-edge projects, leveraging AI and technology to drive tangible business value. Capgemini, with nearly 60 years of heritage, is a responsible and diverse group committed to delivering end-to-end services across strategy, technology, design, engineering, and business operations.

Develop robust data architecture and roadmap strategies, focusing on establishing strong data governance and quality frameworks within Snowflake.

Implement end-to-end Snowflake solutions, ensuring adherence to best practices and optimizing performance through expert query tuning.

Integrate Snowflake with cloud platforms like AWS or Azure, leveraging your expertise in at least one cloud environment.

Utilize SQL, Python, and scripting for efficient data processing and analytics, while staying abreast of new Snowflake features and industry trends to drive innovation.

A minimum of 6 years of experience in data architecture, data warehousing, and cloud data solutions is required.

Possess at least 3 years of hands-on experience in end-to-end Snowflake implementation.

Demonstrate strong knowledge in Snowflake best practices, performance tuning, and query optimization.

Mandatory expertise in at least one cloud platform (AWS or Azure) and familiarity with their integration with Snowflake.

Solid understanding of SQL, Python, and scripting for data processing and analytics is essential. Knowledge of new Snowflake features, AI capabilities, and industry trends is a plus.