GCP Data Engineer | BigQuery, Dataflow & Python
Core
Design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform to enable data-driven decision making.
Role type
Senior GCP Data Engineer
Builds
Scalable data architectures, data pipelines, and data models for analytics and BI
Domain
Cloud data engineering (GCP)
Deliverable
production ML models | product features | infrastructure
Required skills
GCP data services (BigQuery, Dataflow/Beam, Cloud Storage, Pub/Sub), SQL, Python, data orchestration (Airflow/Composer), ETL/ELT, data governance, Git
Preferred skills
Multi-cloud strategies (AWS/Azure), data warehousing (star/snowflake schema), data lake architectures, containerization (Docker/Kubernetes), data visualization integrations
Technologies
BigQuery, Dataflow, Apache Beam, Cloud Storage, Pub/Sub, Airflow, Cloud Composer, Python, Java, Git, Docker, Kubernetes, Terraform
Responsibilities
Design and optimize data pipelines and models on GCP, implement data governance and security controls, monitor and tune data workflow performance and cost, maintain documentation and architecture diagrams, mentor junior team members
Seniority
Senior, hands-on IC
