Senior GCP API Data Engineer

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world. They are seeking a Senior GCP API Data Engineer to design, build, and support scalable enterprise data platforms, enabling organizations to derive meaningful insights and make data-driven decisions.

Responsibilities:

• Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform
• Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases
• Implement best practices for data security, governance, CI/CD, and automated deployment
• Collaborate with data engineers, architects, data scientists, and business stakeholders
• Produce high-quality, reusable code and mentor team members on best practices
• Support testing, deployment, monitoring, and production troubleshooting

Requirements:

• 10+ years of IT experience with 5+ years in Data Engineering
• 2+ years of hands-on experience with Google Cloud Platform
• Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs
• Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures
• Experience with CI/CD, Git/GitHub, and Agile methodologies
• Strong communication skills and ability to mentor junior engineers
• Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI
• Google Cloud Professional Data Engineer Certification
• Bachelor's degree in Computer Science or related field (Master's preferred)