Key skills
PythonSQLAIMLETLELTData EngineeringAnalyticsBigQuerySparkKafkaFastAPIGCPGoogle CloudPub/SubCloud StorageVertex AIApigeeGitGitHubAgileCI/CDCommunication
About this role
Capgemini is a global business and technology transformation partner, and they are seeking a Senior Staff Data Engineer – API with strong Google Cloud Platform (GCP) experience. This role involves designing, building, and maintaining scalable data pipelines and APIs, while collaborating with various stakeholders to support analytics and reporting use cases.
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)