Google Cloud Platform Data Engineer / Cloud Function Developer
Google Cloud Platform Data Engineer / Cloud Function Developer 6 to 12 months remote project We are looking for experienced contractors with strong expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and support cloud-native data and integration solutions.
Key Responsibilities
- Build and maintain scalable data pipelines and ETL/ELT workflows on Google Cloud Platform.
- Develop serverless solutions using Google Cloud Functions.
- Design and implement event-driven integrations using Pub/Sub.
- Design and optimize PostgreSQL databases, SQL queries, and enterprise data models.
- Develop and support REST APIs and backend services.
- Utilize Redis for caching, session management, and performance optimization.
- Design and develop solutions leveraging Cloud Datastore / Firestore for scalable NoSQL data
storage.
- Build and maintain Dataform-based data transformation workflows.
- Collaborate with architects, analysts, and engineering teams to deliver scalable cloud-native
solutions. Required Skills
- 5+ years of experience in Data Engineering or Cloud Development.
- Google Cloud Platform (Google Cloud Platform)
- Google Cloud Functions
- Python
- PostgreSQL
- Advanced SQL
- Data Modeling (Relational & Dimensional)
- Data Pipelines / ETL / ELT
- Google Pub/Sub
- Dataform
- Redis
- Google Cloud Datastore / Firestore
- REST API Development
- API Testing (Postman, Swagger/OpenAPI)
- Git and CI/CD fundamentals
Preferred Skills
- BigQuery
- Terraform / Infrastructure as Code
- Event-driven architecture
- Cloud Monitoring & Logging
- Google Cloud Platform Professional Data Engineer Certification
Experience
- 5-10+ years of relevant experience.
- Strong analytical, troubleshooting, and communication skills.