Compass
10,000+ employees
đ Real Estate
đ± Media
Real Estate âą 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 â 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.
Mid-Level Data Engineer
Job not on LinkedIn
đ„ 14 hours ago
đ§đ· Brazil â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
đ» Ghost score 25%
đŁïžđ§đ·đ”đč Portuguese Required
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Compass
10,000+ employees
đ Real Estate
đ± Media
Real Estate âą 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 â 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.
đ Description
âą Build and maintain scalable, reliable data pipelines âą Work on data ingestion, transformation, and modeling âą Develop solutions using Databricks, Spark, and distributed processing technologies âą Implement and enhance Data Lake and Data Lakehouse architectures âą Ensure data quality, performance, and availability âą Collaborate closely with business stakeholders, translating requirements and business rules into data solutions
đŻ Requirements
âą Strong knowledge of SQL and Python âą Experience with data modeling, including fact, dimension, and cube modeling âą Strong knowledge of Databricks âą Experience with Apache Spark and distributed processing âą Knowledge of Airflow, Kafka, and dbt âą Experience with SQL and NoSQL databases, such as PostgreSQL, MongoDB, and Cassandra âą Knowledge of AWS and GCP cloud platforms âą Experience with Data Lake and Data Lakehouse architectures âą Ability to quickly understand business rules and translate them into data solutions
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