Data Engineer
- As part of your job, you will be working on tools that process personal data relating to Yubo users.
- As a social media platform, we require our employees to have a strong awareness and understanding of privacy issues, and in particular of children's online safety, privacy and well-being.
- Every employee at Yubo is expected to participate in compliance with data protection regulations as well as the continuous improvement of our Privacy & Safety By Design measures.
- Build and maintain high-throughput data pipelines for batch and streaming workloads.
- Co-design data models and validate them with backend teams during the kickoff phase.
- Push back when needed to ensure sustainable architecture and data integrity.
- Work closely with ML engineers to provide clean, ML-ready datasets.
- Ensure data quality, availability, and order of entry at volumes of 300k+ db entries per second.
- Document pipelines, transformations, and architecture clearly for future devs and your future self (you'll thank yourself later)
- Data streaming / processing: Kafka / Streams / Connect
- Data: MongoDB, Couchbase, KeyDB, DragonFly, Elasticsearch, Iceberg, Trino
- Monitoring: Datadog & Grafana
- Automation: Kubernetes operators
- You've built and scaled production data pipelines for more than 5 years.
- You have strong Kafka expertise and deep knowledge of parallelization and event ordering.
- You are proficient in SQL and Python
- You're comfortable owning the data model from architecture doc to deployment.
- You love collaborating across teams, especially in fast-paced, high-autonomy contexts.
- You understand the complexities of high-throughput systems and how to keep them reliable.
- You feel comfortable working mainly in English, both written and spoken
- Familiarize yourself with our data landscape, tooling, and current pipelines.
- Get acquainted with product squads you will work with.
- Be involved in a feature kick-off and provide feedback on the target data model
- Lead the data pipeline work for a new feature experiment.
- Partner with data scientists to deliver well-structured datasets for a new ML model.
- Present findings and documentation that make future development easier.
- Architect a high-volume pipeline from concept to production.
- Drive major improvements in event ingestion performance or reliability.
- Mentor a new teammate or contribute to internal best practices.
- Phone screen with a TAM
- First interview with Mikael, our Head of Infra
- Technical test and debrief with the Data Engineering
- Culture Fit interviews
- A highly competitive salary range as well as equity in the company
- A highly flexible remote work policy, generally between 2-4 days at the office per month, with monthly team events.
- We also cover fees for external professional events and meetups (Android Makers, etc...)
- Great health insurance coverage for both you and your family by Alan, fully paid for by Yubo !
- Numerous benefits for parents: additional parental leave, easy access to nurseries and daycare facilities in France.
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