Senior Python Developer | Remoto at CAPGEMINI ENGINEERING
Guadalajara, Jal., Mexico -
Full Time


Start Date

Immediate

Expiry Date

03 Aug, 25

Salary

0.0

Posted On

03 May, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Python, Cloud Services, Data Extraction

Industry

Information Technology/IT

Description

JOIN CAPGEMINI ENGINEERING AS A SENIOR PYTHON ENGINEER!

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 Senior Python Engineer 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.

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.
Responsibilities
  • 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.
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