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Cloud Data Engineer

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Cloud Data Engineer in Others

  • Capgemini
  • Full time
  • Email
  • Vila Nova de Gaia, Portugal

Responsibilities

  • Design, develop, and maintain backend services and Flask APIs using Python.
  • Build scalable backend applications with Redis caching and optimize PostgreSQL database operations.
  • Develop, deploy, and manage containerized applications using Docker, Kubernetes, and Azure.
  • Create large-scale data processing and transformation workflows with Databricks and Apache Spark.
  • Implement and maintain CI/CD pipelines using Azure DevOps.
  • Handle end-to-end application development, enhancement, deployment, and production support.
  • Participate in sprint planning, code reviews, testing, debugging, and cross-functional collaboration.
  • Optimize application scalability, reliability, security, and performance.

Requirements

  • Strong experience with Python development.
  • Experience building and maintaining REST APIs with Flask.
  • Hands-on experience with Docker and Kubernetes.
  • Experience with Databricks and Apache Spark for data processing.
  • Knowledge of Redis, Microsoft Azure cloud services, PostgreSQL, and database management.
  • Knowledge of Git and version-control best practices.
  • Experience working in Agile/Scrum environments.

Benefits

  • Hybrid work arrangement.
  • Multicultural, inclusive, and supportive team environment promoting work-life balance.
  • Career growth programs and opportunities across diverse projects.
  • Training and certifications in current technologies.
  • National and international project opportunities.
  • Health and life insurance.
  • Referral program with bonuses.
  • Access to great office locations.

Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,...

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