23 days ago
Remote, Worldwide +3 moreMid Level
H1B Sponsor
Responsibilities
- Design, develop, and maintain scalable data pipelines using Python and Databricks (PySpark).
- Process and manipulate large datasets with Python, Pandas, and NumPy.
- Manage Azure cloud environments through the Azure Portal.
- Build distributed data processing applications with Databricks and PySpark.
- Implement API ingestion and automation for JSON-based data workflows.
- Use Postman for API testing and automation.
- Contribute to DevOps and CI/CD practices while collaborating with cross-functional teams.
Requirements
- Strong proficiency in Python, including advanced Python concepts.
- Hands-on experience with Databricks and PySpark for large-scale data processing and analysis.
- Experience with Pandas and NumPy.
- Experience managing cloud environments using the Azure Portal.
- Experience handling APIs, JSON-based data ingestion, and integration.
- Familiarity with DevOps practices and Agile/Scrum environments.
- Proficiency with Postman for API testing and automation.
Benefits
- Remote work and flexible work hours are available.
- Career growth programs and opportunities across diverse professions are offered.
- Employees can pursue certifications in current technologies, including Generative AI.
About 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 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com