Data Engineer


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Our client’s vision is a world where every real estate transaction is simple, certain, and satisfying. They are aiming to change the face of real estate, one happy homeowner at a time. They build data-driven products to help the real state industry to match their clients with top-performing real estate agents to meet each of their specific needs. They have an algorithm and marketplace solutions to guide the clients through every step of the home buying or selling experience.

Job Description

For this role, you will work with our client's Data Team. They manage their data pipelines and services surrounding real estate listings and transactions, property information, and raw agent data. They have built many ETL pipelines and tools surrounding them to help ingest and process millions of real estate listings per year and they are embarking on some very large and interesting projects to process that data in real-time to have the most accurate and up-to-date real estate data in the industry. That's why we are looking for someone who has... * +4 years of experience working on Data Engineering. * +3 years (the more the better) years working with Python and ETL experience preferable with Airflow * Ability to thrive in a fast-paced, rapidly evolving startup environment. * Excellent verbal, written and visual communication skills * Reliable: you always do what you say you will do. Nice to haves: * AWS ecosystem * ElasticSearch * Ruby/Rails * Django * Experience setting up and managing internal API services * Heroku


Only candidates from Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, El Salvador, Mexico, Panama, Peru, Uruguay

Intermediate or advanced spoken English is required for ALL opportunities. If you can't speak English yet, please keep practicing and apply in the future.

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