Senior GCP Data Engineer

Job not on LinkedIn

🕒 6 days ago

🏢🏡 São Paulo – Hybrid

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🗣️🇧🇷🇵🇹 Portuguese Required

Apply Now
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Logo of Compass

Compass

WebsiteLinkedIn

10,000+ employees

🏠 Real Estate

📱 Media

Real Estate • Media

Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors — including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.

📋 Description

• Develop, maintain and optimize data pipelines (ETL/ELT) in cloud environments • Work on data modeling and structuring of databases for analytical consumption • Ensure data quality, consistency and traceability • Support data integrations via REST APIs and cloud services • Work with Google Cloud Platform (GCP), especially BigQuery • Support data migration initiatives to cloud environments (BigQuery or Microsoft Fabric) • Contribute to the evolution of data processes, performance and technical best practices • Collaborate with technical and business teams to understand requirements

🎯 Requirements

• Strong experience in Data Engineering • Advanced SQL and data modeling (including source-to-target mapping structures) • Building and maintaining ETL/ELT pipelines in cloud environments • Experience with Python for automation and data processing • Experience with Google Cloud Platform (GCP), including: • BigQuery • Cloud Functions • Cloud SQL • Cloud Storage • System integration via REST APIs and Google Apigee • Experience with Data Lake and Lakehouse architectures • Experience migrating data to BigQuery and/or Microsoft Fabric • Knowledge of data governance and end-to-end data lineage/traceability • Experience optimizing performance and cost in analytical environments (FinOps applied to data)

🏖️ Benefits

• Hybrid work arrangement with on-site presence required 2 days per week at Campos Elíseos, São Paulo - SP

Apply Now

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