Google Cloud Data Engineer implementing data ingestion and analytics frameworks at Fueled. Specializing in Google Cloud Platform and modern data modeling.
Responsibilities
Implement robust data ingestion strategies using GA4 and GTM for data collection.
Architect cloud storage and data pipelines on Google Cloud Platform using BigQuery and Pub/Sub.
Drive data consumption and visualization via Looker and LookML for complex data structuring.
Orchestrate ETL and reverse ETL workflows, aggregating data from varied sources into cohesive warehouses.
Enable lifecycle marketing and experimentation, establishing identity resolution and audience syncing capabilities.
Requirements
Advanced data modeler and SQL expert, capable of transforming messy, multi-source data into clean, logical semantic models.
Deep Cloud Infrastructure capabilities within the Google Cloud Platform ecosystem, leveraging BigQuery, Cloud Functions, and Pub/Sub.
Master of the modern analytics stack, familiar with GA4, GTM, and Looker/LookML for capturing, storing, and visualizing user behavior.
Understanding of the lifecycle marketing ecosystem, with experience in Identity Resolution, audience syncing, and CDP integrations.
Rigorous guardian of data quality, detail-oriented in QA and validation processes.
Benefits
Contractor Fee compensation is determined based on a variety of factors including relevant experience, projects, geographic location, and business needs.
Join our Contractor Pool granting access to project invitations tailored to your expertise and availability when they arise.
Opportunity to experience team culture while showcasing contributions, with potential transition to full-time roles.
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