GCP Data Engineer
Core
Designing and managing cloud-based data platforms on Google Cloud Platform (GCP) to implement batch and real-time processing pipelines, manage structured and unstructured data, and prepare datasets for Data Scientists and BI tools.
Role type
GCP Data Engineer
Builds
Scalable data pipelines, optimized Machine Learning model execution, and integrated data solutions for clients.
Domain
Cloud Computing, Data Engineering, Machine Learning
Deliverable
production ML models | product features | dashboards & analysis
Required skills
GCP data services (Dataflow, Composer, Data Fusion, Vertex AI), ETL/ELT pipeline design, SQL, Python, BigQuery, Cloud SQL, Firestore, Data modeling, Data governance
Preferred skills
Google Professional Data Engineer certification
Technologies
Google Cloud Platform, Dataflow, Composer, Data Fusion, Vertex AI, BigQuery, Cloud SQL, Firestore
Responsibilities
Implement and manage cloud-based data platforms; design data models and build/maintain ETL/ELT pipelines; optimize and integrate Machine Learning models for scalable execution; provide guidance on suitable GCP services; collaborate with clients and partners to align solutions with business objectives.
Seniority
Mid-level to Senior, hands-on IC
