Data Engineer (Databricks+Snowflake)
Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 22, 2026. Capgemini scores B on the Alion truth index.
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 migration of critical banking data assets from legacy SQL Server environments to modern platforms such as Snowflake, Databricks, and Hive, helping shape the organization's future data architecture.
- Own the design, optimization, and reliability of complex ETL and data processing pipelines, ensuring scalable and high-performance solutions for business-critical workloads.
- Act as a senior technical contributor who can independently investigate complex systems, troubleshoot data issues, and drive resolutions with minimal guidance.
- Partner with architects, product teams, and business stakeholders to define data requirements, improve data models, and deliver solutions that support strategic business initiatives.
- Play a key role in a high-visibility modernization program, influencing best practices around SQL development, Airflow orchestration, data quality, and performance optimization across the data platform.
Your Profile
- 5+ years of experience designing, developing, and supporting enterprise-scale data solutions.
- Advanced expertise in SQL, with the ability to write, optimize, and troubleshoot complex queries, data transformations, and high-volume data workloads.
- Proven experience designing, developing, and supporting ETL/ELT pipelines within enterprise-scale data environments.
- Hands-on experience with Snowflake and exposure to Databricks, including performance optimization and large-scale data processing.
- Strong knowledge of Airflow and data modeling, including schema design, partitioning strategies, and query performance tuning.
- Demonstrated ability to independently analyze, debug, and resolve issues across complex data pipelines while working effectively in a fast-paced, high-impact environment.
- 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.