GCP Data Engineer
Core
Design, build, and optimize scalable ETL/ELT data pipelines and event-driven architectures on Google Cloud Platform.
Role type
GCP Data Engineer
Builds
Scalable data pipelines, real-time processing architectures, and data solutions leveraging GCP services
Domain
Cloud computing, Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python (object-oriented), GCP services (BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, DataForm), ETL/ELT pipeline design, API integration, CI/CD automation, data governance, performance optimization
Preferred skills
GCP Professional Data Engineer Certification, Snowflake Associate/Core certification
Technologies
Python, GCP (BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, DataForm), Cloud Build, Snowflake
Responsibilities
Design and optimize scalable ETL/ELT pipelines; Develop modular Python applications for data ingestion and transformation; Architect and maintain data solutions on GCP; Implement event-driven and real-time data processing; Build and automate CI/CD workflows; Ensure optimal performance, scalability, and cost efficiency; Establish data quality, governance, and security standards; Integrate with external APIs; Convert business needs into scalable data solutions
Seniority
Mid-level, hands-on IC
