Compass
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.
Senior Data Engineer, Scala, AWS
Job not on LinkedIn
🕒 2 days ago
🗣️🇧🇷🇵🇹 Portuguese Required
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Compass
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 and optimize large-scale data pipelines with a focus on performance and reliability; • Build streaming and batch solutions for data ingestion, transformation, and consumption; • Collaborate with architects and developers to define technical standards and best practices; • Ensure observability, versioning, and data quality in production; • Support modernization and process automation initiatives within the tribe;
🎯 Requirements
• Strong experience as a Data Engineer; • Proficiency in Scala, Spark (Streaming), and Python; • Hands-on knowledge of distributed architectures and microservices; • Experience with AWS services such as Lambda, SNS, SQS, and Glue; • Analytical mindset with a focus on efficiency and scalability; • Experience with ScyllaDB (or Apache Cassandra); • Knowledge of Kafka; • Experience in data environments focused on digital products and teams;
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