Requirements: English
Company: Voodoo
Region: Paris , le-de-France
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 charttopping 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 youll join the AdNetwork Team which is an autonomous squad of around 30 people. The team is composed of toptier 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 realtime bidding environment. It is a strategic topic with significant impact on the business.
This roles requires to be onsite 3 days/week and is Paris based.
Role
- Build and maintain efficient ETL/ELT data pipelines using tools like DBT Airflow or similar orchestration systems.
- Collaborate crossfunctionally with data scientists analytics teams and product engineers to understand data needs and translate them into robust data solutions.
- Support the development and maintenance of our Iceberg lakehouse.
- Monitor data pipeline performance and resolve issues related to data quality latency and reliability.
- Assist in developing and enforcing data governance documentation and security policies.
- Participate in code reviews testing and deployment processes to ensure high engineering standards.
- Contribute to automation and infrastructure improvements using IaC and CI/CD tools (e.g. Terraform CircleCI).
- Stay up to date with modern data engineering trends tools and best practices.
Profile (Must have)
- 35 years of experience in data engineering software engineering.
- Proficiency in Python SQL and data transformation tools.
- Experience with data pipeline orchestration tools (e.g. Airflow Prefect Dagster).
- Solid understanding of data warehousing concepts distributed systems and cloud data platforms.
- Knowledge of data modeling data governance and security best practices.
- Strong problemsolving skills and attention to detail.
- Excellent communication and collaboration abilities.
Nice to have
- Experience working with streaming data technologies (e.g. Kafka Spark Streaming Kinesis).
- Exposure to DBT or similar data transformation frameworks.
- Knowledge of InfrastructureasCode and containerization (Terraform Docker Kubernetes).
- Interest in observability data lineage and cataloging tools.
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
Required Experience:
Senior IC
Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Full-Time
Experience: years
Vacancy: 1