Google Cloud Data Engineer
Core
Designing, building, and implementing scalable data pipelines and ETL/ELT processes on Google Cloud Platform (GCP) to integrate diverse data sources and serve client needs.
Role type
Data Engineer (GCP)
Builds
Scalable data pipelines, ETL/ELT processes, and data solutions on GCP
Domain
Cloud Computing / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
GCP services (Dataflow, Dataproc, Cloud Functions, Composer), BigQuery, Cloud Storage, ETL/ELT development, data quality management, cost optimization, automation/orchestration, scripting
Preferred skills
Client collaboration, technical documentation, team knowledge sharing, staying current with GCP best practices
Technologies
Dataflow, Dataproc, Cloud Functions, Composer, BigQuery, Cloud Storage
Responsibilities
Collaborate with clients to translate data challenges into technical GCP solutions; Design and implement efficient, scalable data pipelines; Develop and implement ETL/ELT processes for integrating data from databases, files, and APIs; Work with large datasets using BigQuery, Cloud Storage, and Dataproc; Implement and maintain data quality and security compliance; Optimize data solution performance and cost; Automate tasks using orchestration tools and scripting; Document solutions and provide technical support; Contribute to team growth through knowledge sharing
Seniority
Individual Contributor
