GCP Data Engineer
Core
Design and develop scalable cloud-based data pipelines to ingest, transform, and deliver trusted analytics-ready datasets for enterprise reporting and advanced analytics.
Role type
Senior GCP Data Engineer
Builds
Scalable data integration pipelines and analytics-ready datasets for enterprise systems (ERP, CRM, E-commerce) using Google BigQuery.
Domain
Cloud Data Engineering / Data Warehousing
Deliverable
production ML models | product features
Required skills
Google BigQuery, Python, SQL, DBT, Airflow/Cloud Composer, ETL/ELT pipeline development, data quality frameworks, data modeling, query optimization, CI/CD workflows
Preferred skills
Ascend.io, Databricks, Fivetran, Dataflow, Data cataloging/governance tools (e.g., Collibra), Real-time/event-driven processing (Pub/Sub, Kafka), Infrastructure automation
Technologies
Google BigQuery, Python, SQL, DBT, Airflow, Cloud Composer, Ascend.io, Databricks, Fivetran, Dataflow, Pub/Sub, Kafka, Collibra
Responsibilities
Lead development of scalable data integration pipelines; Design and build analytics-ready pipelines transforming raw data into curated datasets; Implement transformation logic using DBT; Apply BigQuery best practices for performance; Automate and monitor complex data workflows; Develop efficient Python and SQL code; Establish robust data quality checks and testing strategies; Mentor junior engineers and conduct peer code reviews
Seniority
Senior, hands-on IC
