Data Ops Senior

Responsibilities

• Implement and continuously improve data pipelines within a Data Centric architecture
• Automate deployments and operational processes
• Supervise the performance of Data platforms
• Manage and resolve production incidents
• Participate in DevOps activities involving Kafka, Kubernetes, and GCP
• Collaborate with development and infrastructure teams to ensure reliability, availability, and scalability

Requirements

• Master's degree (Bac+5) in Computer Science or equivalent
• Over 7 years of confirmed expertise in Apache Kafka
• Operational mastery of Kubernetes and Google Cloud Platform (GCP)
• Proficiency in GCP services including GKE, Cloud Storage, Cloud SQL, and Cloud Monitoring
• Advanced Kafka skills: partitioning, replication, compaction, performance tuning, and security (TLS, SASL, ACL)
• Experience with Prometheus and Grafana for supervision
• Proficiency in DevOps practices (CI/CD) and scripting (Bash, Python)
• Knowledge of relational database fundamentals
• Familiarity with Agile methodologies (Scrum, Sprint Planning)

Preferred Qualifications

• Experience in the retail/large-scale distribution sector is a plus