Solution Engineer

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Qualytics

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2020

🔌 API

🤖 Intelligence artificielle

☁️ SaaS

API • Artificial Intelligence • SaaS

Qualytics est une plateforme de qualité des données qui automatise et améliore les contrôles de qualité des données pour les entreprises. Elle propose des workflows avancés qui s'intègrent aux structures de données existantes, permettant une gestion centralisée des vérifications de qualité des données et offrant aux utilisateurs métiers des solutions low/no-code. Avec des fonctionnalités telles que la détection automatique des anomalies et la réconciliation des données, Qualytics renforce la confiance dans les données et permet une gouvernance évolutive pour les organisations de toutes tailles.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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