Google Cloud Platform Data Engineer / Cloud Function Developer

SVAM International
United States
3 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

BigQuery Cloud Computing Cloud Engineering Information Engineering Extract Transform Load (ETL) Data Transformation Data Stores Python (Programming Language) PostgreSQL NoSQL Performance Tuning Redis
+21 more
Swagger Session Management SQL Databases Openapi Enterprise Data Management Data Logging Google Cloud Data Storage Technologies Postman Sql Optimization Cloud Monitoring Caching Backend Git Event Driven Architecture Google Cloud Functions Restful APIs Terraform Data Pipelines Api Management Serverless Computing

Job description

  • 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

Requirements

  • 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.

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