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Python Developer with Data Analytics @ Capgemini

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Capgemini  Python Developer with Data Analytics

Job Description

 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 lifecyclefrom 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.

    • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Machine Learning
    Role: Full Stack Data Scientist
    Employement Type: Full time

    Contact Details:

    Company: Capgemini
    Location(s): Chennai

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    Keyskills:   python developer kubernetes python github data analytics restful airflow machine learning sql microservices docker analytics pandas django git postgresql gcp jenkins software engineer agile flask aws architecture azure

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    Capgemini

    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 5...

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