Ingénieur(e) données concevant des pipelines et architectures analytiques Azure. Collaboration client et amélioration des standards de gouvernance, qualité et performance des données.
About the role
- 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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