Google Cloud API Data Engineer

Capgemini is a global business and technology transformation partner, and they are seeking a Senior Staff Data Engineer – API with strong Google Cloud Platform experience. This role involves designing, building, and supporting scalable enterprise data platforms, as well as collaborating with various stakeholders to produce high-quality data solutions.

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 Architecture
• Minimum 2+ years of hands-on experience with Google Cloud Platform
• 2+ years of API development experience
• Strong experience with: BigQuery, Cloud Run, GKE, Cloud Functions
• Python (FastAPI), Java, or Scala
• Apigee, Kafka, Spark Streaming
• SQL, CI/CD, Git/GitHub
• Solid understanding of Agile methodologies
• Strong problem-solving, communication, and collaboration skills
• 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)