Join Capgemini Invent as a Python Developer with Databricks to drive transformative solutions. You'll leverage your skills in data pipelines, cloud environments, and API integration to create cutting-edge solutions informed by science and data.

This role focuses on building scalable data solutions, managing cloud infrastructure on Azure, and ensuring seamless API connectivity. You'll be instrumental in developing and maintaining robust data pipelines, processing large datasets, and integrating information efficiently.

Develop and maintain scalable data pipelines using Python and Databricks (PySpark). Design and implement data processing applications within Azure cloud environments. Ingest and automate API data, specifically working with JSON payloads. Utilize Postman for API testing to ensure smooth data flow and integration. Manage cloud resources and environments via the Azure Portal. Collaborate in Agile/Scrum settings, contributing to CI/CD practices.

Proficiency in Python, including libraries like Pandas and NumPy. Hands-on experience with Databricks and PySpark for large-scale data processing. Expertise in Azure Portal for cloud environment management. Strong understanding of API ingestion, JSON data handling, and integration. Familiarity with DevOps principles and Agile/Scrum methodologies. Experience with Postman for API testing and automation is essential.