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

Capgemini; Aguascalientes; Presencial; MXN 540.000 - 780.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Meaningful projects

Collaborative global team

Descripción de la vacante

Capgemini Engineering seeks a Data & Cloud Engineer to drive a modernization platform that migrates SAS workloads to Python on Google Cloud Platform. You will design cloud-native architectures, enable AI-driven code transformation, and build pipelines with BigQuery, Looker, and LookML in a collaborative, agile environment.

The role involves analyzing SAS assets, validating AI-generated outputs, and implementing scalable data pipelines using Python and GCP services.

Formación

• 5+ years in Data Engineering and/or Cloud Engineering.
• Experience with Google Cloud Platform and Python-based data solutions.
• Familiarity with SAS, Informatica, Teradata, or similar legacy platforms.

Responsabilidades

• Analyze SAS programs, macros, ETL jobs, data flows, and business rules.
• Design and implement automated migration frameworks for SAS components to Python and GCP services.
• Build cloud-native architectures on GCP and CI/CD pipelines using GitHub Actions, Cloud Build, and Terraform.
• Develop ETL/ELT processes to migrate datasets to BigQuery and optimize data models.
• Validate migration outputs and ensure data quality and lineage tracking.

Conocimientos

Python

SQL

Shell Scripting

PySpark

BigQuery

Vertex AI

Cloud Composer

Dataflow

Cloud Functions

Cloud Run

IAM

Monitoring & Logging

ETL/ELT

Data Warehousing

Data Modeling

Data Validation

Data Quality Frameworks

Google Cloud Platform

Code Transformation

Educación

Bachelor's degree in Computer Science, Engineering or related field

Herramientas

BigQuery

Cloud Storage

Vertex AI

Cloud Composer (Airflow)

Dataflow

Cloud Functions

Cloud Run

Terraform

Descripción del empleo

Capgemini Engineering seeks a Data & Cloud Engineer to drive a modernization platform that migrates SAS workloads to Python on Google Cloud Platform. You will design cloud-native architectures, enable AI-driven code transformation, and build pipelines with BigQuery, Looker, and LookML in a collaborative, agile environment.

The role involves analyzing SAS assets, validating AI-generated outputs, and implementing scalable data pipelines using Python and GCP services.