at Capgemini
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**Solution Architect (Google Cloud Specialist) - Empower Data-Driven Organizations** - **Role**: Develop, maintain, and optimize data pipelines using Apache Airflow, Python, and Google Composer. Design scalable, efficient data solutions, integrate and manage Google Cloud services (GCS, Cloud Functions, Cloud Run), and ensure data integrity. Oversee deployments, troubleshoot UAT/production issues, and monitor pipeline performance. - **Experience**: Proven expertise in data engineering with specific experience in Python and Airflow-based pipelines. Hands-on Google Cloud services usage (GCS, Cloud Functions, Cloud Run, Composer) required. Background in data modeling, data quality, and pipeline monitoring. Experience deploying and supporting data solutions across environments. Strong problem-solving skills, documentation practices, and stakeholder communication. - **Benefits**: Work on cloud-native data engineering solutions using Google Cloud technologies, modern architectures, collaborate globally on impactful projects, and contribute to data reliability, quality, and business value.
- Compensation
- Not specified
- City
- Bangalore
- Country
- India
Currency: Not specified
Full Job Description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
- Develop, maintain, and optimize data pipelines using Apache Airflow, Python, and Google Composer.
- Integrate and manage Google Cloud services including GCS, Cloud Functions, and Cloud Run.
- Design scalable and efficient data solutions while ensuring best practices in architecture.
- Maintain documentation, perform quality checks, and ensure data integrity and validation.
- Oversee deployments, support UAT/production issues, and ensure pipeline reliability and performance.
Your Profile
- Strong experience in data engineering with expertise in Python and Airflow-based pipeline development.
- Hands-on experience with Google Cloud services such as GCS, Cloud Functions, Cloud Run, and Composer.
- Solid understanding of data modeling, data quality, and pipeline monitoring.
- Experience in deploying and supporting data solutions across UAT and production environments.
- Strong problem-solving skills, documentation practices, and stakeholder communication.
What you will love working in Capgemini
- Opportunity to work on cloud-native data engineering solutions using Google Cloud technologies.
- Exposure to modern orchestration, serverless, and containerized architectures.
- Collaborate with global teams on scalable and high-performance data platforms.
- Work on impactful projects ensuring data reliability, quality, and business value.
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 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com
