
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.
🔥 0 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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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.
• Develop, evolve, and optimize large-scale data pipelines; • Design solutions for data ingestion, transformation, and delivery; • Ensure efficiency, performance, and reliability of production pipelines; • Integrate data from multiple sources and systems; • Work on workflow orchestration and pipeline automation; • Support incident resolution and continuous improvements of the data platform; • Collaborate with cross-functional teams (engineering, product, and business); • Contribute to data engineering best practices, architecture, and governance; • Participate in technical definitions and platform evolution.
• Solid experience as a Senior Data Engineer; • Hands-on experience with: • Databricks • Apache Airflow (or Composer) • Google Cloud Platform (GCP) • Google Cloud Storage (buckets) • SQL, Python, and PySpark • Fivetran • GitLab • Experience with production data pipelines (ingestion, transformation, and orchestration) • Analytical, proactive, and hands-on profile • Good communication skills and ability to collaborate with technical and business teams • Desired: • Microsoft Azure • Terraform • Firebase • Experience with CI/CD and pipeline automation • Experience with data platform modernization and cloud architecture
• Not specified
Apply Now🕒 2 days ago
1001 - 5000
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Python
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🗣️🇧🇷🇵🇹 Portuguese Required
Python
Spark
Unity
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🗣️🇧🇷🇵🇹 Portuguese Required
Azure
Cloud
ETL
Python
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