Data Engineer Consultant building and maintaining enriched data infrastructure for analytical thinking at Northwest Permanente. Involves data collection, cleansing, and transformation for business intelligence.
About the role
- Data Engineer at Voodoo optimizing real-time data pipelines for gaming and consumer apps to support growth. Joining a top-tier data team dedicated to monetizing via advertising partners in a competitive landscape.
Responsibilities
- Build, maintain, and optimize real-time 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 high-throughput, low-latency, and fault-tolerant processing in real-time.
- Write clean, well-documented code in Java, Scala, or Python for distributed systems.
- Work with cloud-native 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, cost-efficiency, and scalability.
Requirements
- 3-5+ years of experience in data engineering, with a strong focus on real-time 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 event-driven systems.
- Experience working with event streaming and messaging platforms like GCP Pub/Sub, AWS Kinesis, Apache Pulsar, or Kafka.
- Hands-on knowledge of event schema management, including tools like Avro or Protobuf.
- Understanding of real-time data pipelines, with experience handling large volumes of event-driven data.
- Comfortable working in Kubernetes for deploying and managing data processing workloads in cloud environments (AWS, GCP, etc.).
- Exposure to CI/CD workflows and infrastructure-as-code tools such as Terraform, Docker, and Helm.
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
Job title
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Degree requirement
Tech skills
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