Senior Data Engineer - Ad networks - Models
5 Months ago • 4-8 Years
Job Description
As a Senior Data Engineer on the Ad-Network Team, you will build and maintain robust data pipelines, collaborating closely with Data Scientists to develop core data engineering tools for machine learning. You'll own projects from inception to release, including architecture design and benchmarking new technologies. Responsibilities include developing backend applications for ML model serving, optimizing cloud technologies (AWS, Kubernetes), and working in an agile environment with cross-functional teams. The team focuses on optimizing advertising in a real-time bidding environment to monetize Voodoo's game and app inventory.
Must Have:
- Build and maintain data pipelines
- Collaborate with Data Scientists
- Develop ML model serving applications
- Optimize cloud technologies
- Agile environment experience
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 Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry.
Within the Data team, you’ll join the Ad-Network Team which is an autonomous squad of around 30 people. The team is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists (among which 3 Kaggle Masters). The goal of this team is to provide a way for Voodoo to monetize our inventory directly with advertising partners, and relies on advanced technological solutions to optimize advertising in a real-time bidding environment. It is a strategic topic with significant impact on the business.
Role
- Build and maintain robust data pipelines to align with ever-evolving business needs, ensuring optimal architecture support.
- Collaborate closely with Data Scientists to develop the core data engineering tools that support our machine learning.
- Take ownership of projects from initial discussions to release, including feature estimation & scoping, architecture design, and benchmarking of new technologies
- Contribute to the development of backend applications for ML model serving
- Work closely with infrastructure teams to optimize our use of cloud technologies
- 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
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