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.