AI-Powered Data & Cloud Engineer: SAS to Python on GCP

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

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.