Data Ops Sénior – Data Platform
Core
Design, operate, and improve data pipelines within a Data Centric architecture to ensure reliability, scalability, performance, and security.
Role type
Senior Data Operations Engineer (Data Platform)
Builds
Data pipelines, automated deployment processes, and monitoring solutions
Domain
Retail / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Apache Kafka (expert), Kubernetes, Google Cloud Platform (GCP), CI/CD automation, Bash/Python scripting, Prometheus/Grafana monitoring
Preferred skills
Experience in large-scale retail distribution
Technologies
Apache Kafka, Kubernetes, GCP (GKE, Cloud Storage, Cloud SQL, Cloud Monitoring), Prometheus, Grafana
Responsibilities
Implement and optimize data pipelines, automate deployments, monitor platform performance, manage production incidents, collaborate with DevOps and infrastructure teams
Seniority
Senior, hands-on IC