Offer summary

Qualifications:

Proficiency in Python, particularly with frameworks like FastAPI or Django REST., Experience in building data pipelines for ETL processes., Knowledge of Microsoft Azure services, especially Azure OpenAI and Cognitive Services., Familiarity with RESTful API development and database management, including Azure SQL and NoSQL databases..

Key responsabilities:

Develop and manage secure APIs for frontend and backend communication.

Build and automate data pipelines for extracting and structuring data from various sources.

Configure and manage Azure Cognitive Search for data indexing and querying.

Integrate and deploy AI/ML models, ensuring effective data feeding into systems.

Job description

México, Remote

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.

Technical Skills

Python: Proficiency in Python, especially for backend development using frameworks like FastAPI or Django REST, which are often used in AI and ML integrations.
Data Engineering: Experience in building data pipelines for ETL (Extract, Transform, Load) processes, specifically in automating data extraction from various sources (e.g., Confluence, SharePoint, GitLab, JIRA, and Eridoc) and structuring it for downstream systems.

Azure Cloud Services: Knowledge of Microsoft Azure services, particularly:

Azure OpenAI and Cognitive Services: Familiarity with Azure’s AI services, as they will be involved in LLM processing.
Azure Data Factory: For orchestrating complex workflows and pipelines.
Azure Search: Proficiency in configuring and managing Azure Cognitive Search for indexing and querying data.
RESTful API Development: Ability to develop and manage secure APIs for communication between the frontend (React) and backend, as well as with third-party services.
Database Management: Experience with Azure SQL, NoSQL databases, or Azure Cosmos DB would be valuable for managing structured and unstructured data.
Experience with AI/ML Models: Some experience integrating and deploying GenAI models or knowledge of RAG (Retrieval-Augmented Generation) pipelines is essential to understand how data can be fed effectively into these systems.

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