Data & Cloud Engineer

Capgemini; Aguascalientes; Híbrido; 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

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 roleWe 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.