Senior Analytics Engineer - Ad-network
Job Summary
Job Description
Voodoo's Ad-Network team seeks a Senior Analytics Engineer to build and structure data pipelines, enhance pipeline quality through testing and improved practices, acquire a comprehensive product understanding, and build pipelines for new machine learning and data analytics use cases. The role involves handling large-scale data, improving development and integration flows, developing CI/CD pipelines, making proactive recommendations, collaborating with various teams (backend, data science, mobile, product, marketing), and working in an agile environment. Strong understanding of data engineering principles and tools is required. Onsite presence in the Paris office is required for 3 days a week.
Must have:
- Build and structure data pipelines
- Improve pipeline quality (testing, scheduling)
- Develop CI/CD pipelines and tooling
- Handle large-scale data and latency constraints
- Collaborate with cross-functional teams
Good to have:
- Machine learning understanding
- Experience with DBT, Athena, Spark, AWS
11 skills required
Job Details
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 further 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.
The role requires to be onsite in our Paris office 3days/week.
Role
- Build and structure the Models team data pipelines.
- Improve our pipelines quality through better practices, data tests, task scheduling, code reviews and codebase organization.
- Acquire a global product understanding and build data pipelines to promote new machine learning and data analytics use cases.
- Help our most ambitious data pipelines handle the required scale, refresh rate or latency constraints.
- Improve our development and integration flow.
- Help us develop our CI/CD pipelines, and our tooling.
- Make proactive recommendations to improve on the bottlenecks you've identified.
- Acquire an understanding of machine learning to maximise the applicability of your actions
- Be a link with Voodoo Engineering Analytics Engineers team and exchange on tools and best practices
- Work in an agile environment with a fast decision process.
- Collaborate directly with people working on back-end development, data science, mobile games, broad audience mobile apps, product & marketing.
Our Stack
- DBT ⧫ Athena ⧫ Terraform ⧫ Spark ⧫ Amazon Web Services ⧫ Kubernetes ⧫ CircleCI ⧫ Airflow ⧫ Tableau
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