Staff Software Engineer – DSM

🕒 il y a 1 mois

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 10%

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🗣️🇺🇸🇬🇧 Anglais requis

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Cint

1001 - 5000 employés

Fondée en 2004

💼 Conseil

📣 Marketing

💰 Venture Round en 2016-01

Consulting • Marketing • Market Research

Cint est une plateforme technologique mondiale de premier plan qui propose un marketplace complet dédié aux études de marché. L’entreprise opère le plus grand marketplace programmatique de la recherche au monde, le Cint Exchange, qui met en relation des enquêtes avec des millions de répondants dans 130 pays. Cint propose des services tels que la mesure média et la monétisation d’audience, en s’appuyant sur une technologie puissante pour fournir aux entreprises orientées insights des données actionnables. Avec un accent mis sur la qualité et la confiance, Cint utilise des outils avancés d’IA et de machine learning afin de garantir l’intégrité et l’exactitude des données collectées. L’entreprise sert un large éventail de secteurs en offrant des outils pour mesurer l’impact publicitaire, réaliser des études de brand lift et optimiser les stratégies marketing en temps réel. Des milliers d’entreprises font confiance à Cint pour son approche innovante qui connecte efficacement les organisations aux bons participants d’enquêtes.

Description

• Design, implement, scale, and maintain backend systems that process large volumes of data • Work on event-driven and API-based integrations • Contribute to migration efforts toward a more domain-based and scalable architecture • Build and optimize software for performance-sensitive workflows • Investigate technical problems and propose solutions together with the team • Collaborate closely with data science and engineering colleagues on technical solutions • Participate in a collaborative development model where work is shared rather than handled alone

🎯 Exigences

• 10+ years of backend software engineering experience, with strong technical depth • We’re technology agnostic, so you're welcome to switch your main language to Java • Solid understanding of algorithms, data structures, Big O notation, and Architecture • Familiarity with heavy data processing tools and technologies such as Spark, Apache ecosystem tools, Delta Lake, Parquet, Kafka, and Avro • Experience with Python and/or PySpark • Experience building or maintaining complex, real-time, high-volume systems • Experience with Docker, SQL, and NoSQL databases • Experience with REST APIs and event-driven integrations • Strong problem-solving skills and a proactive, collaborative working style • Ability to communicate well with engineers and data science partners • Academic Background: Computer science, computer engineering or a related field is preferred • Nice to Have: Experience with AWS, GCP or other cloud providers, Pandas, Spring framework and microservices, large-scale data or analytics environments

🏖️ Avantages

• Collaboration is our superpower • Success happens together • Innovation is in our blood • Our curiosity is insatiable • We do what we say • Excellence comes as standard • We are caring • Stop and listen; every opinion matters

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