Software Engineer: Analytical Products
at Capgemini
Posted 5 days ago
No clicks
- Compensation
- Not specified
- City
- Chennai
- Country
- India
Currency: Not specified
Capgemini Engineering is hiring a Software Engineer for Analytical Products in Chennai. The role focuses on building analytics-powered data pipelines and ML workflows, from data ingestion and transformation to modelling, storage, and visualization, using Python and modern web frameworks. Candidates should have strong cloud experience (GCP, AWS, or Azure), containerization with Docker and Kubernetes, RESTful APIs, and CI/CD; familiarity with SQL and data tooling is essential. Preferred qualifications include ML lifecycle tools (mlflow, Kubeflow), data orchestration (Pandas, Apache Beam, Airflow), and exposure to ML workflows or MLOps.
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
Software Engineer : Analytical Products
Location-Chennai
Experience : 6 to 9
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.
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 Skills
Python Developement,Very Strong in coding,Any python Framework like Django/Fast API/Falsk,RESTful API,Docker/Kubernetes,Any Cloud Experince like AWS/Azure/GCP,Good knowledge on Data Analytics like Analytical Life Cycle/Data Transformation/Data Visualization/Data Ingestion,Data Modelling etc..
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.
