Offer summary

Qualifications:

Proficiency in Python with experience in FastAPI or Django REST frameworks., Knowledge of Azure Cloud Services including Azure OpenAI and Data Factory., Experience in building ETL pipelines and managing databases like Azure SQL or NoSQL., Familiarity with integrating AI/ML models and developing secure RESTful APIs..

Key responsabilities:

Develop backend solutions and optimize ETL processes for data extraction.

Create and manage secure RESTful APIs for frontend and backend communication.

Utilize Microsoft Azure services to enhance AI and ML capabilities.

Integrate and deploy advanced AI models to improve data processing.

Job description

Join Capgemini Engineering as a Python Developer!

Are you passionate about backend development and data engineering? Do you thrive in a dynamic environment where innovation meets excellence? Capgemini Engineering is looking for a talented Python Developer to join our team and drive cutting-edge AI and ML integrations!

About: As a Python Developer at Capgemini Engineering, you will play a crucial role in building robust data pipelines, developing secure APIs, and leveraging Azure Cloud Services to enhance our AI and ML capabilities. Your expertise will help us automate data extraction, structure it for downstream systems, and integrate advanced AI models.

Your Role

Develop backend solutions using Python frameworks like FastAPI or Django REST.
Build and optimize ETL processes for data extraction from sources such as Confluence, SharePoint, GitLab, JIRA, and Eridoc.
Utilize Microsoft Azure services, including Azure OpenAI, Cognitive Services, Data Factory, and Cognitive Search.
Create and manage secure RESTful APIs for seamless communication between frontend (React) and backend systems.
Manage databases using Azure SQL, NoSQL databases, or Azure Cosmos DB.
Integrate and deploy GenAI models and RAG pipelines to enhance data processing.

Your Profile

Technical Skills:

Python: Proficiency in backend development with FastAPI or Django REST.
Data Engineering: Experience in building ETL pipelines and automating data extraction.
Azure Cloud Services: Knowledge of Azure OpenAI, Cognitive Services, Data Factory, and Cognitive Search.
RESTful API Development: Ability to develop and manage secure APIs.
Database Management: Experience with Azure SQL, NoSQL databases, or Azure Cosmos DB.
AI/ML Models: Experience integrating and deploying GenAI models or RAG pipelines.

WHAT YOU’LL LOVE ABOUT WORKING HERE?

Capgemini Employer Promise: Learning + Flexibility + Team Spirit + Inclusion + Innovation.
Work from home: fully remote position.
Get competitive benefits above the law.
Build your future within a worldwide leader in ER&D projects.
Feel free to grow within different industries and choose your career path.
Be part of a great family of Engineers, and people all over Mexico and the world.

Apply Now! Ready to take your career to the next level? Join us at Capgemini Engineering and be part of a team that values innovation, excellence, and collaboration. Apply today and let's build the future together!

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

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.

Required profile