At Capgemini Invent, we believe difference drives change. As inventive
transformation consultants, we blend our strategic, creative and scientific
capabilities, collaborating closely with clients to deliver cutting-edge
solutions. Join us to drive transformation tailored to our client's challenges
of today and tomorrow. Informed and validated by science and data. Superpowered
by creativity and design. All underpinned by technology created with purpose.

YOUR PROFILE

As a Python Developer with Databricks, you will be responsible for developing
and maintaining scalable data pipelines, managing cloud environments on Azure,
and ensuring smooth integration with APIs. The ideal candidate will be
proficient in Python, Databricks (PySpark), and Azure DevOps, with a strong
understanding of cloud services, DevOps practices, and API testing.

* The candidate should be able to design, develop, and maintain scalable data
pipelines using Python and Databricks (PySpark), applying advanced Python
concepts to process and manipulate large datasets.




* They must have experience in API ingestion and automation, particularly
working with JSON data and using Postman for API testing to support
integrated and efficient data workflows.
* The role requires hands‑on expertise with Azure Portal for managing cloud
environments, as well as building distributed data processing applications
using Databricks and PySpark.
* The candidate should be proficient in DevOps and Agile/Scrum methodologies,
contributing to CI/CD practices while collaborating closely with
cross‑functional teams to deliver solutions aligned with business and
technical goals.

YOUR ROLE

* The candidate should have robust proficiency in Python along with experience
using data processing libraries such as Pandas and NumPy.
* They must have hands‑on experience with Databricks (PySpark) for large‑scale
data processing and analysis.
* The role requires experience using the Azure Portal to manage cloud
environments and expertise in

📌 Python with ADB (Pune)
🏢 Capgemini
📍 Pune