Analytics Engineer

• About VoodooFounded 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.
• TeamDo 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.
• Role
• - Take a proactive stance in solving data challenges to enhance platform performance, consistency, and accuracy.
• - Design, maintain, and refine scalable data models to support business applications and analytics, with an eye for adapting to evolving data needs.
• - Work with autonomy to address significant company-wide issues and develop solutions that span across teams.
• - Acquire a product understanding of our games and build data pipelines to promote new data analytics use cases.
• - Maintain comprehensive documentation to support effective project management and collaboration.
• - Advocate for a strong data quality culture to enable faster, more reliable decision-making.
• - 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.
• Profile
• - 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)
• - Solid experience with the modern data stack, particularly DBT Core, Redshift (or equivalent), git, and Tableau (or equivalent), is necessary.
• - Experience with CI/CD, Airflow and Docker.
• - Terraform, K8s and ArgoCD are a plus.
• - Excellent communication skills, with ability to understand and communicate on both business or technical topics. English is mandatory
• - A pragmatic approach to balancing technical integrity with the need to accelerate delivery.
• Our Stack
• - AWS (S3, Glue, Athena)
• - Infra as code: Terraform
• - CI/CD: CircleCI
• - Lakehouse: Iceberg with SparkSQL and Athena
• - Orchestration: dbt Core, Airflow (MWAA)
• - Observability: Elementary, in-house volume and freshness anomaly detection
• - Data Catalog: Open Metadata
• - Data Visualisation: Tableau, Redash

Experienced Analytics Engineer

Lead Analytics Engineer