Cloud Data Engineer- ONSITE CDMX

Capgemini Engineering; Aguascalientes; Presencial; MXN 400.000 - 700.000; Jornada completa

Descripción de la vacante

Capgemini is seeking a Data Engineer to develop and maintain data pipelines that support analytics and business reporting. The role emphasizes ETL/ELT with cloud technologies, data validation, and collaboration with Agile teams to deliver platform enhancements.

The candidate should have 4-5 years of data-focused experience and hands-on skills in Python, PySpark, SQL, and GCP services such as BigQuery, Dataproc, and Cloud Composer.

Formación

• 4-5 years of experience in Data Engineering, Data Development, or related data-focused roles.
• Hands-on experience with Python, PySpark, SQL, and cloud-based data processing environments.
• Familiarity with BigQuery, Dataproc, and Cloud Composer, with willingness to expand expertise in GCP services.

Responsabilidades

• Develop and maintain data pipelines that support analytics and business reporting solutions.
• Build and enhance ETL/ELT processes using cloud-based data technologies.
• Perform data validation, testing, and troubleshooting activities to ensure data quality and reliability.
• Optimize SQL queries and support improvements in data processing performance.
• Collaborate with Agile teams to deliver new features, deployments, and platform enhancements.

Conocimientos

Python

PySpark

SQL

GCP

ETL/ELT

Herramientas

BigQuery

Dataproc

Cloud Composer

Descripción del empleo

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Your Role

• Develop and maintain data pipelines that support analytics and business reporting solutions.
• Build and enhance ETL/ELT processes using cloud-based data technologies.
• Perform data validation, testing, and troubleshooting activities to ensure data quality and reliability.
• Optimize SQL queries and support improvements in data processing performance.
• Collaborate with Agile teams to deliver new features, deployments, and platform enhancements.

Your Profile

• 4-5 years of experience in Data Engineering, Data Development, or related data-focused roles.
• Hands-on experience with Python, PySpark, SQL, and cloud-based data processing environments.
• Familiarity with BigQuery, Dataproc, and Cloud Composer, with a willingness to expand expertise in GCP services.
• Understanding of ETL/ELT processes, data pipelines, data quality, and data transformation concepts.
• Strong problem-solving skills, eagerness to learn, and ability to work effectively in collaborative Agile environments.

What you’ll love

• Contribute to building a better future for people, planet, and society.
• Thrive in a diverse, respectful, and inclusive environment.
• Access continuous learning through internal academies, certifications, and mentorship.
• Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini.
• A culture anchored in our Fun and Team spirit values.

About Capgemini

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.