Data Engineer (SQL+Snowflake)

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Your Role

• Lead the analysis, troubleshooting, and modernization of complex legacy data pipelines built on SQL Server and SSIS, ensuring business-critical data processes continue running smoothly during migration.
• Take ownership of migrating enterprise data workloads to modern platforms such as Snowflake or Hive, making key technical decisions with minimal supervision.
• Work closely with data architects, business stakeholders, and engineering teams to understand existing data flows and translate them into scalable, future-state solutions.
• Deep dive into large and sometimes undocumented data ecosystems, using advanced SQL expertise to identify issues, optimize performance, and resolve complex data challenges.
• Act as a senior technical contributor who can ramp up quickly, work independently, mentor less experienced engineers when needed, and drive project delivery in a high-visibility, fast-paced environment.

Your Profile

• 5+ years of experience designing, developing, and supporting enterprise-scale data solutions, with deep expertise in SQL Server, ETL development, and data integration architectures.
• Expert-level SQL skills, including complex query development, performance tuning, data analysis, troubleshooting, and optimization of large-volume transactional and analytical datasets.
• Strong hands-on experience with SQL Server and SSIS, including developing, enhancing, maintaining, and migrating business-critical data pipelines in production environments.
• Proven ability to analyze, reverse-engineer, and modernize legacy data ecosystems, with experience debugging complex end-to-end data workflows and identifying root causes across multiple systems.
• Experience working with Snowflake, combined with the ability to independently drive migration initiatives, make technical recommendations, and deliver solutions with minimal oversight.
• Fluent English

What you'll love

• Work on meaningful projects that use technology to solve real-world challenges.
• Be part of a company that values sustainability, inclusion, and digital equity.
• Contribute to building a better future for people, planet, and society

Need to know

This role can be working from any state of Mexico

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.