Experienced Data Engineer - Streaming Platform
Experienced Data Engineer - Streaming Platform
Posted on :
11-04-2025
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1 Vacancy
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Job Description
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 maintain and optimize realtime data pipelines to process bid requests impressions clicks and user engagement data.
- Develop scalable solutions using tools like Apache Flink Spark Structured Streaming or similar stream processing frameworks.
- Collaborate with backend engineers to integrate OpenRTB signals into our data pipelines and ensure smooth data flow across systems.
- Ensure data pipelines handle highthroughput lowlatency and faulttolerant processing in realtime.
- Write clean welldocumented code in Java Scala or Python for distributed systems.
- Work with cloudnative messaging and event platforms such as GCP Pub/Sub AWS Kinesis Apache Pulsar or Kafka to ensure reliable message delivery.
- Assist in the management and evolution of event schemas (Protobuf Avro) including data consistency and versioning.
- Implement monitoring logging and alerting for streaming workloads to ensure data integrity and system health.
- Continuously improve data infrastructure for better performance costefficiency and scalability.
Profile (Must have)
- 35 years of experience in data engineering with a strong focus on realtime streaming systems.
- Familiarity with stream processing tools like Apache Flink Spark Structured Streaming Beam or similar frameworks.
- Solid programming experience in Java Scala or Python especially in distributed or eventdriven systems.
- Experience working with event streaming and messaging platforms like GCP Pub/Sub AWS Kinesis Apache Pulsar or Kafka.
- Handson knowledge of event schema management including tools like Avro or Protobuf.
- Understanding of realtime data pipelines with experience handling large volumes of eventdriven data.
- Comfortable working in Kubernetes for deploying and managing data processing workloads in cloud environments (AWS GCP etc..
- Exposure to CI/CD workflows and infrastructureascode tools such as Terraform Docker and Helm.
Nice to have
- Familiarity with realtime analytics platforms (e.g. ClickHouse Pinot Druid) for querying large volumes of event data.
- Exposure to service mesh autoscaling or cost optimization strategies in containerized environments.
- Contributions to opensource projects related to data engineering or stream processing.
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
Employment Type
Full-Time
Key Skills
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