Senior Data Engineer - Ad networks - Models

Voodoo; Paris; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

Une entreprise tech en pleine croissance recherche un Data Engineer expérimenté. Le candidat devra collaborer avec des équipes variées pour développer des pipelines de données robustes tout en optimisant les modèles ML. Des compétences solides en Python et des connaissances en AWS et Spark sont essentielles. L'environnement est axé sur l'agilité, favorisant l'innovation et le travail d'équipe.

Prestations

Salaire compétitif selon expérience

Package de déménagement complet

Tickets restaurants Swile

Accès à Gymlib

Couverture santé premium 100% prise en charge

Garderie pour enfants

Activités de bien-être

Politique de vacances illimitées

Jours de télétravail

Qualifications

• 5/6+ ans d'expérience en tant que Data Engineer ou rôle similaire.
• Expérience avec Spark à grande échelle.
• Compréhension approfondie de la conception et de l'optimisation des data lakehouses.

Responsabilités

• Collaborer avec des Data Scientists pour améliorer les composants clés.
• Construire et maintenir des pipelines de données de qualité.
• Contribuer au développement des applications backend pour le ML.

Connaissances

Python

Communication

Scalabilité

Fiabilité

Sécurité

Outils

Spark

Amazon Web Services

DBT

Airflow

Terraform

Kubernetes

Description du poste

About Voodoo

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.

Team

The Voodoo Ad-Network team is an autonomous product of around 30 people that carries the ambitious mission of providing ad network services. One goal is to leverage Voodoo’s first party data to improve Voodoo’s monetisation. Moreover the product is growing through new ventures like opening to external inventory, reaching external advertisers market and social network monetisation through BeReal recent acquisition. Thanks to promising results, our ambition is now to scale up the team to support growth.

The product is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists.

The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product financial performance. It’s composed of mostly seniors Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers that iterate together on finding and building the next performing iteration.

Role

• Collaborate closely with Data Scientists to improve various core components such as Feature store, Data Lakehouse, ML model serving.

• Take ownership of projects from initial discussions to release, including feature estimation & scoping, architecture design, and benchmarking of new technologies

• Build and maintain quality data pipelines to align with ever-evolving business needs

• Contribute to the development our backend applications for ML model serving

• Work closely with infrastructure teams to guarantee scalability

• Work in a very agile environment with a fast decision process, having the opportunity to collaborate directly with people working on back-end development, data science, mobile games, broad audience mobile apps, product & marketing

Our Stack

• Python ⧫ Amazon Web Services ⧫ Kubernetes ⧫ DBT ⧫ Airflow ⧫ Terraform

Profile

• 5/6+ years of experience as a Data Engineer or another similar role

• Experience with Spark at scale

• Extensive experience with Python, ideally for both backend and ETL applications

• Deep understanding of data lakehouse design and optimization

• Experience with Amazon Web Services

• Experience with Data Pipelines with DBT

• Familiarity with scalability, reliability, and security topics

• Understanding of the challenges involved in running ML models in production (familiar with topics such as feature store, training-serving skew, etc.)

• Excellent communication skills, you can speak & write English

Benefits

• Competitive salary upon experience

• Comprehensive relocation package (including visa support)

• Swile Lunch voucher

• Gymlib (100% borne by Voodoo)

• Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo

• Child day care facilities (Les Petits Chaperons rouges)

• Wellness activities in our Paris office

• Unlimited vacation policy

• Remote days