Data Engineer

🕒 Fevereiro 11

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Koala Health

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🛍️ Comércio Eletrônico

⚕️ Seguro de Saúde

🧘 Bem-estar

eCommerce • Healthcare Insurance • Wellness

A Koala Health é uma empresa dedicada a simplificar a medicação de animais de estimação, oferecendo um serviço eficiente que verifica prescrições, separa e embala medicamentos e os entrega diretamente aos clientes, sem cobrar taxas de serviço ou envio. Especializada em medicamentos aprovados por veterinários e produtos de saúde, a Koala Health garante que os donos de animais tenham fácil acesso aos tratamentos necessários, como prevenção de dirofilariose, controle de pulgas e carrapatos, alívio de alergias e suplementos para a saúde digestiva. Com foco em conveniência e confiabilidade, a Koala Health faz parcerias com veterinários para assegurar que os animais recebam o melhor cuidado possível. Os clientes podem usufruir de economias significativas nas primeiras compras com diversos códigos promocionais e fazer parte de uma comunidade comprometida com o bem-estar dos animais.

Descrição

• Own and evolve Koala Health’s end-to-end data infrastructure, including ingestion, transformation, modeling, and delivery. • Design and maintain reliable data pipelines from production systems (e.g., application databases, third-party tools, vendors). • Build and manage data models that support analytics, reporting, and operational use cases. • Establish and enforce best practices for data quality, testing, monitoring, and documentation. • Partner with stakeholders across product, operations, finance, and marketing to understand data needs and translate them into scalable solutions. • Improve the reliability, performance, and cost-efficiency of the data stack as the business grows. • Own incident response and debugging for data issues, proactively identifying and resolving root causes. • Create and maintain clear documentation so data assets are understandable and usable across the company. • Evaluate and implement tooling improvements where it meaningfully improves developer velocity or data quality. • Act as a thought partner to leadership on how data can better support decision-making and operational efficiency.

🎯 Requisitos

• 4+ years of experience as a Data Engineer, Analytics Engineer, or in a similar role with significant end-to-end ownership. • Strong SQL skills and experience building well-structured analytical data models. • Hands-on experience working with cloud data warehouses, including Snowflake. • Experience designing and operating ELT pipelines using managed tools such as Fivetran (or comparable ELT solutions). • Familiarity with modern data platform orchestration and transformation frameworks (e.g., Mozart or similar). • Experience enabling analytics and reporting workflows using Looker with an understanding of how data modeling impacts downstream usage. • Solid programming experience (Python) for data pipelines and transformations. • Experience working with cloud infrastructure (AWS, GCP, or similar). • Ability to independently diagnose data quality issues, identify root causes, and implement durable fixes. • Proven ability to work autonomously, manage priorities, and deliver high-quality outcomes in a fast-moving environment. • Strong systems thinking and an instinct for building simple, reliable solutions. • Excellent communication skills and comfort collaborating with non-technical stakeholders.