Solution Engineer

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🕒 Agosto 9, 2025

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Qualytics

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2020

🔌 API

🤖 Inteligência Artificial

☁️ SaaS

API • Artificial Intelligence • SaaS

A Qualytics é uma plataforma de qualidade de dados que automatiza e aprimora os controles de qualidade de dados para empresas. Ela oferece fluxos de trabalho avançados que se integram às pilhas de dados existentes, permitindo o gerenciamento centralizado das verificações de qualidade de dados e capacitando os usuários de negócios com soluções de baixo código ou sem código. Com recursos como detecção automática de anomalias e reconciliação de dados, a Qualytics aumenta a confiança nos dados e possibilita a governança escalável para organizações de qualquer tamanho.

Descrição

• Partner with customers to understand their data architecture, quality challenges, and business objectives • Design and implement custom integration solutions using Python, RESTful APIs, and modern data engineering tools • Develop out-of-band monitoring solutions that provide comprehensive data quality oversight without disrupting existing pipelines • Build in-band pipeline integrations that embed Qualytics directly into customer data workflows using tools like DBT, Airflow, and custom orchestration frameworks • Architect hybrid and cloud-native solutions across AWS, GCP, and Azure environments • Write production-quality Python code for customer implementations, including custom connectors, data transformations, and integration utilities • Collaborate with customer data engineering teams to optimize performance and ensure scalable deployments • Create technical documentation, implementation guides, and best practice recommendations for customer success • Conduct technical workshops, webinars, and training sessions for customer teams • Represent Qualytics at industry conferences, meetups, and technical forums as a thought leader in data quality • Provide feedback to product and engineering teams based on real-world customer use cases and requirements • Mentor and support customer teams through complex technical implementations • Give & receive constructive feedback that makes the overall team and product stronger

🎯 Requisitos

• Python Mastery: Advanced Python development skills with experience building production data solutions • Data Engineering: Broad experience with modern data engineering tools and practices (DBT, Airflow, etc.) • API Development: Proficiency with RESTful API design, integration, and troubleshooting • Database Systems: Hands-on experience with multiple relational datastores (PostgreSQL, MySQL, SQL Server, Oracle, etc.) • Cloud Platforms: Experience with cloud-based and hybrid data solutions across major providers (AWS, GCP, Azure) • Data Ecosystem: Familiarity with popular data tools and frameworks in the modern data stack • Customer Interaction: Proven track record of successful customer engagements and technical relationship building • Communication: Excellent written and verbal communication skills, with ability to explain complex technical concepts to diverse audiences

🏖️ Benefícios

• Competitive salary and equity: we pay up for great talent • Unlimited vacation – we trust you to take what you need – we clear the calendars on common holidays so you don't feel like you're going to miss an important meeting if you take off • All the benefits: medical, dental, and vision insurance, the works • Work with a passionate and dedicated team • Conference and speaking opportunities: we support and encourage team members to represent Qualytics at industry events • Fun environment with like minded individuals who enjoy a company giphy conversation on slack more than they should