Google Cloud Platform Data Engineer

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., * 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

• 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.