Analytics Engineer

🕒 August 6

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

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🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Loft

Loft

1001 - 5000 employees

Founded 2018

🏠 Real Estate

💸 Finance

🏪 Marketplace

Real Estate • Finance • Marketplace

Loft is a company specializing in solutions for real estate, providing innovative commercial, technological, and financial solutions across Brazil. It operates as a platform for buying and selling apartments and houses in major Brazilian cities like São Paulo, Rio de Janeiro, and Porto Alegre. Loft offers real estate evaluation, sales management, rental administration, and financial solutions such as rental guarantees and property financing. Their services are tailored for both individual buyers and sellers as well as partner real estate agencies, enhancing the real estate transaction experience with digital and efficient processes. Loft is committed to making the real estate buying, selling, and financing processes seamless and accessible to all users through their digital platform and mobile app.

📋 Description

• Create and evolve data products, ensuring quality, performance, and adherence to architectural best practices • Collaborate with internal stakeholders to clarify requirements, gather business rules, and align expectations across teams • Support the definition of deadlines, priorities, and scopes • Translate business challenges into efficient technical solutions focused on value and impact • Participate in backlog refinement and prioritization using agile methodologies in Jira • Ensure quality standards through tests, documentation, alerts, monitoring, and change communication • Create and maintain documentation for both new and legacy data products • Promote a data-driven culture and contribute to the evolution of the data platform • Ensure that deliveries add value to the company's strategic objectives • Contribute to team development and knowledge sharing with peers • Support Loft’s mission of building a real estate ecosystem in Latin America through data, AI, and machine learning

🎯 Requirements

• Strong knowledge of SQL and data modeling (conceptual, logical, physical, and dimensional) • Experience with Python and dbt for modeling, validations, testing, automation, data manipulation, and scripting • Experience orchestrating pipelines and jobs using Airflow and/or GitHub Actions • Familiarity with CI/CD practices applied to data engineering and analytics • Experience with code versioning using GitHub • Experience with cloud environments, including GCP (Google Cloud Platform) and BigQuery • Experience with data visualization tools • Nice to have: experience in Data Engineering and data ingestion/pipeline creation • Nice to have: experience with AI and automation • Nice to have: experience with modern data architectures such as Modern Data Stack, Lakehouse, and Medallion • Nice to have: prior experience in the real estate market (proptechs)

🏖️ Benefits

• Caju - Flexible benefits wallet to use for Meal, Food, Mobility, Health, Home Office, Culture and Education • Health insurance • Dental insurance • Life insurance • Wellhub - Access to gyms across Brazil • Wellz - Mental health platform • Parental leave - for fathers and mothers • Guapeco - Discounted pet health plan • Remote work

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