Python Developer with Data Analytics | 6 to 9 years | Chennai

Actively Reviewing the Applications

Capgemini

India, Tamil Nadu, Chennai Full-Time On-site INR 10–20 LPA

Posted 1 day ago • Apply by June 20, 2026

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 world’s 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.

Job Description

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.

Required Skills & Experience

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.

Preferred Qualifications

Experience with analytical lifecyle tools (e.g. mlflow, Kubeflow)
Familiarity with data processing and data orchestration frameworks (e.g., Pandas, Apache Beam, Apache Airflow).
Knowledge of SQL and experience working with relational or analytical databases (e.g., BigQuery, PostgreSQL).
Exposure to machine learning workflows or MLOps is a plus.

Primary Skils

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/ visualization.
Experience with cloud platforms such as Google Cloud Platform (GCP)/ AWS/ Azure.
Hands-on experience with containerized applications using Docker and orchestration tools like Kubernetes.
Familiarity with RESTful API design and microservices architecture.
Strong problem-solving skills and ability to work in a collaborative, agile environment.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.