Principal Data Engineer

🕒 Abril 11

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $162.000 - $178.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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Greenbox Capital

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2012

A Greenbox Capital é uma financiadora direta no setor de Merchant Cash Advance (adiantamento de recebíveis), oferecendo às pequenas empresas acesso ao tão necessário capital de giro por meio de adiantamento de recebíveis, factoring de faturas e empréstimos de curto prazo para pequenas empresas. Como uma fintech de crédito alternativa orientada por tecnologia, a solução corporativa da Greenbox Capital, The Box, destaca-se amplamente em relação a outros produtos Fintech. O The Box aumenta a segurança das operações para os parceiros, melhorando significativamente a velocidade de liberação de recursos e a qualidade da análise de crédito para escalar, e reformula os meios tradicionais de obtenção de capital com uma experiência sem atritos para o cliente.

Descrição

• Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and other Azure services • Own the data engineering framework, including pipeline patterns, orchestration standards, and reusable components • Collaborate with data scientists, Software engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions • Define, document, and enforce best practices for ADF, Databricks, Spark, and data modeling • Implement and maintain data storage solutions using Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB • Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes • Implement data quality checks, validation frameworks, and monitoring for critical data assets • Design and support governance patterns leveraging Databricks Unity Catalog and Azure-native controls • Develop and maintain documentation for data engineering processes and solutions

🎯 Requisitos

• Bachelor’s degree in computer science, Information Technology, or a related field. • 5+ years of experience in data engineering, with demonstrated ownership of production systems. • 3+ years of experience in the Azure ecosystem. • Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Databricks Unity Catalog. • Material experience interacting with relational and NoSQL, JSON, XML, and interacting with REST APIs • Deep hands-on experience with: Azure Data Factory (orchestration, patterns, parameterization) Azure Databricks / Apache Spark (PySpark, performance tuning, cluster design) Azure Data Lake Storage and Azure SQL • Advanced experience in programming in Python & SQL. • Solid understanding of data modeling, ETL/ELT design, and analytical data platforms • Experience with Azure DevOps or GitHub and CI/CD pipelines. • Experience designing and deploying data governance frameworks from the ground up. • Proven experience owning data engineering frameworks, not individual pipelines.

🏖️ Benefícios

• 💸 Competitive Pay - We know your worth and we pay accordingly. • 🌴 Flexible PTO - Work hard, rest well. Take the time you need to recharge. • 🏡 Work from anywhere within the U.S., working Eastern Time hours to keep everyone aligned. • 🩺 Full Benefits Package - Health, dental, vision • 🧠 Smart, Supportive Teammates - Collaborate with sharp minds who are kind, driven and uphold our core values: Commitment, Communication, Teamwork, Service and Integrity!