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Python Developer - Data Analytics

Python Developer - Data Analytics

Capgemini

4 - 9 years

7 - 11 Lacs

chennai

Posted:21 hours ago| Platform:

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Skills Required

python developer kubernetes python github data analytics restful google cloud platform ai microservices docker analytics r django git gcp microservices architecture jenkins software engineer agile flask aws architecture azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds most"innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they"provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are"the same. About The Role
About the Role
We are seeking a talented and driven Software Engineer to join our Analytical Product team. You will play a key role in designing, developing, and deploying data-driven applications that power insights and decision-making across the business.
This role is ideal for someone passionate about building scalable analytical tools using modern web frameworks and cloud-native technologies. Key Responsibilities

Design, develop, and maintain analytical web applications and services.

Collaborate with data scientists and subject matter experts to translate analytical requirements into robust software solutions.

Implement and manage containerized applications using Docker and orchestration tools (e.g., Kubernetes).

Build and maintain CI/CD pipelines for efficient deployment and testing. Develop APIs and backend services using Python and modern web frameworks (e.g., Flask, FastAPI, Django).

Work with cloud platforms (preferably Google Cloud Platform, or AWS/Azure) to deploy and scale applications.

Ensure code quality, performance, and security best practices are followed.

Contribute to the full analytical lifecycle"”from data ingestion and transformation to visualization and reporting.

Notice Period Required up to 30 days(Kindly don't apply if your notice period is more than 30 days).
Primary Skills

Strong proficiency in Python and experience with at least one modern web framework (e.g., Flask, FastAPI, Django).

Solid understanding of the analytical lifecycle , including data ingestion, transformation, modelling, model storage and visualization.

Experience with cloud platforms such as Google Cloud Platform (GCP) , AWS , or Azure .

Hands-on experience with containerized applications using Docker and orchestration tools like Kubernetes .

Familiarity with RESTful API design and microservices architecture.

Experience with CI/CD tools and version control systems (e.g., Git, GitHub Actions, Jenkins).

Strong problem-solving skills and ability to work in a collaborative, agile environment.

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Python Developer - Data Analytics