Key skills
Google Cloud PlatformBigQueryCloud StorageDataflowDataprocPub/SubAPI developmentSQLData modelingETLELTStreaming architecturesCI/CDGitAgile methodologiesPythonAIMLAnalyticsSparkKafkaFastAPIGCPGoogle CloudVertex AIApigeeGitHubAgileMentoringCommunicationCollaboration
About this role
Capgemini is a global business and technology transformation partner, and they are seeking a Senior GCP Data Engineer to design, build, and support scalable enterprise data platforms. The role involves collaborating with various stakeholders to implement best practices for data management and mentoring team members.
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:
- 7+ 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
- 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)