Data Engineer – Google Cloud Platform (GCP)
Core
Design, develop, and maintain scalable ETL/ELT pipelines and data models on Google Cloud Platform to support analytics, reporting, and AI initiatives.
Role type
Data Engineer (GCP)
Builds
Cloud-native data platforms, data ingestion workflows, and data models for enterprise analytics and AI.
Domain
Cloud Data Engineering / Enterprise Analytics
Deliverable
production ML models | product features
Required skills
ETL/ELT pipeline development, Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub, Composer, Dataproc), SQL, Python, data warehousing concepts, dimensional modeling, data quality validation, pipeline orchestration
Preferred skills
dbt, Spark, Kafka, Terraform, Docker, streaming architectures, event-driven integration, BI tools (Looker, Power BI), MLOps concepts
Technologies
Google Cloud Platform, BigQuery, Dataflow, Pub/Sub, Composer, Dataproc, dbt, Spark, Kafka, Terraform, Docker, Looker, Power BI
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Build and optimize data ingestion and processing workflows; Develop data models for analytics and AI; Implement data quality and governance controls; Collaborate with stakeholders to translate requirements; Support pipeline orchestration and automation
Seniority
Mid-level, hands-on IC
