Data & Cloud Engineer

Capgemini Engineering; Aguascalientes; Presencial; MXN 400.000 - 900.000; Jornada completa

Descripción de la vacante

Capgemini Engineering in Mexico is seeking a Data & Cloud Engineer to support a modernization platform that migrates legacy SAS workloads to Python and Google Cloud Platform (GCP) using AI agents and Generative AI technologies.

This role combines data engineering and cloud engineering to design cloud-native architectures on GCP, enable AI-driven code transformation, and implement modern data platforms using BigQuery, Looker, and other GCP services.

Formación

• 5+ years in Data Engineering and/or Cloud Engineering.
• Advanced Python and SQL skills.
• Experience with GCP services (BigQuery, Looker, Vertex AI).
• ETL/ELT development and data modeling experience.
• Strong scripting and automation abilities.

Responsabilidades

• Analyze SAS programs, macros, ETL jobs and data flows.
• Design and implement automated migration frameworks for SAS assets to Python on GCP.
• Build cloud-native architectures and CI/CD pipelines using GitHub Actions, Cloud Build, Terraform.
• Develop and validate data pipelines, data models and quality checks.
• Collaborate with AI engineers on SAS code analysis and Python code generation.

Conocimientos

Python

SQL

Bash

PySpark

ETL/ELT

Herramientas

BigQuery

Cloud Storage

Vertex AI

Cloud Composer

Dataflow

Cloud Functions

Cloud Run

IAM

Monitoring & Logging

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

We are seeking a highly motivated Data & Cloud Engineer to support the development of an innovative modernization platform that accelerates the migration of legacy SAS workloads to Python and Google Cloud Platform (GCP) using AI Agents and Generative AI technologies.

This role combines responsibilities from both Data Engineering and Cloud Engineering, focusing on designing cloud-native architectures, enabling AI-driven code transformation, and implementing modern data platforms on GCP. The engineer will work closely with AI Engineers, Data Architects, and Business SMEs to build a proof of concept (POC) and demonstration platform capable of automatically converting SAS assets into Python, BigQuery, Looker, and other modern GCP services.

• Analyze existing SAS programs, macros, ETL jobs, data flows, and business rules.
• Support the design and implementation of automated migration frameworks for:
  • SAS Base
  • SAS Macros
  • PROC SQL
  • Data Steps
  • SAS ETL Workflows
• Validate migration outputs generated by AI agents.
• Identify conversion dependencies and remediation actions.
• Assist in code quality reviews and migration testing.
• Design and deploy cloud-native architectures within GCP.
• Configure and manage:
  • BigQuery
  • Cloud Storage
  • Cloud Composer (Airflow)
  • Dataflow
  • Vertex AI
  • Cloud Functions
  • Cloud Run
  • IAM and Security Controls
• Build CI/CD pipelines using:
  • GitHub Actions
  • Cloud Build
  • Terraform
• Implement infrastructure-as-code and automation practices.
• Design scalable data pipelines using Python and GCP services.
• Develop ETL/ELT processes to migrate datasets from SAS environments into BigQuery.
• Optimize data models and query performance.
• Build metadata and lineage tracking mechanisms.
• Implement data quality validation frameworks.
• Support testing and reconciliation between SAS and Python outputs.
• Collaborate with AI Engineers developing autonomous agents capable of:
  • SAS code analysis
  • Business rule extraction
  • Python code generation
  • BigQuery SQL conversion
  • Looker model creation
  • Documentation generation
• Define prompts, templates, and reference architectures for AI-assisted conversion.
• Evaluate AI-generated outputs and implement quality guardrails.
• Create feedback loops to continuously improve conversion accuracy.
• Convert SAS reporting logic into:
  • BigQuery SQL
  • Python Processing Modules
  • LookML Models
  • Looker Dashboards
• Support dashboard modernization efforts.
• Validate reporting consistency between legacy and target environments.

Your profile

• 5+ years in Data Engineering and/or Cloud Engineering.
• Python (Advanced)
• SQL (Advanced)
• Shell Scripting / Bash
• PySpark (Preferred)
• Strong experience in:
  • BigQuery
  • Cloud Storage
  • Vertex AI
  • Cloud Composer
  • Dataflow
  • Cloud Functions
  • Cloud Run
  • IAM
  • Monitoring and Logging
• ETL / ELT Development
• Data Warehousing
• Data Modeling
• Data Validation
• Data Quality Frameworks
• Knowledge of:### Required Experience
• Vertex AI
• Agentic AI Architectures
• LLM-based Code Generation
• Prompt Engineering
• RAG Architectures
• AI Quality Evaluation Frameworks
• Experience with Google Cloud Platform.
• Experience developing Python-based data solutions.
• Experience with large-scale data migration projects.
• Familiarity with legacy analytics platforms such as SAS, Informatica, Teradata, or similar.
• Experience working in Agile delivery environments.

What You´ll Love

• Work on meaningful projects that use technology to solve real-world challenges.
• Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies).
• Thrive in a diverse, respectful, and inclusive environment.

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.