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.
Do you have a passion for data analysis and a desire to elevate it to new heights? Join our close-knit Analytics Engineering team, where we ensure the data warehouse performs optimally, meeting and surpassing SLAs for maximum efficiency. We empower analysts by streamlining queries and maintaining a scalable, consistent repository. With custom CI processes, we minimize production hiccups, and our specialized tools around DBT boost analysts’ confidence, enabling rapid and accurate data-driven decisions. Be part of a team that champions innovation and speed in the ever-evolving world of data.
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Take a proactive stance in solving data challenges to enhance platform performance, consistency, and accuracy.
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Design, maintain, and refine scalable data models to support business applications and analytics, with an eye for adapting to evolving data needs.
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Work with autonomy to address significant company-wide issues and develop solutions that span across teams.
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Acquire a product understanding of our games and build data pipelines to promote new data analytics use cases.
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Maintain comprehensive documentation to support effective project management and collaboration.
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Advocate for a strong data quality culture to enable faster, more reliable decision-making.
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Keep up-to-date with the latest data technologies and methodologies ensuring our team remains at the forefront of data engineering, data visualization, data tools, and infrastructure innovation.
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Engineering/Computer Science background with solid experience in crafting complex, optimized SQL queries and a solid understanding of data modeling and data warehousing principles (3 years minimum)
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Solid experience with the modern data stack, particularly DBT Core, Redshift (or equivalent), git, and Tableau (or equivalent), is necessary.
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Experience with CI/CD, Airflow and Docker.
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Terraform, K8s and ArgoCD are a plus.
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Excellent communication skills, with ability to understand and communicate on both business or technical topics. English is mandatory
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A pragmatic approach to balancing technical integrity with the need to accelerate delivery.
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AWS (S3, Glue, Athena)
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Infra as code: Terraform
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CI/CD: CircleCI
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Lakehouse: Iceberg with SparkSQL and Athena
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Orchestration: dbt Core, Airflow (MWAA)
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Observability: Elementary, in-house volume and freshness anomaly detection
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Data Catalog: Open Metadata
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Data Visualisation: Tableau, Redash
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Competitive salary based on experience
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Swile Lunch voucher
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Gymlib (100% covered by Voodoo)
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Premium healthcare coverage with SideCare, 100% covered for you and your family
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Wellness activities in our Paris office
