AWS Data Engineer, Mid-level

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Compass

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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.

10,000+ employees

🏠 Real Estate

📱 Media

📋 Description

• Design, develop, and maintain efficient, scalable data pipelines, ensuring reliability and high performance. • Implement ETL/ELT processes to integrate data from various internal and external sources. • Collaborate with data scientists and business analysts to understand requirements and deliver solutions that meet analytical needs. • Optimize the performance of queries, workflows, and data processing routines. • Implement and maintain data warehouses, data marts, and data lakes, ensuring a modern and sustainable architecture. • Ensure data quality, integrity, security, and governance throughout the data lifecycle. • Develop and maintain technical documentation for systems, pipelines, and data processes. • Stay up to date with data engineering technologies, tools, and best practices. • Collaborate with infrastructure and cloud teams to ensure scalability, availability, and efficiency of data solutions. • Participate in technical discussions, architecture reviews, and knowledge sharing with the team.

🎯 Requirements

• Experience in Data Management and Data Modeling. • Experience with Machine Learning. • Proficiency in Python. • Strong knowledge of SQL Server.

🏖️ Benefits

• Don’t meet all the requirements for this role? • That’s okay! At Compass UOL, we encourage the continuous development of new talent and turn challenges into opportunities.