4 months ago
Paris, FranceSenior
Responsibilities
- Improve the reliability and efficiency of data ingestion systems using sources such as Kafka, MariaDB, and Segment.
- Maintain Deezer’s data platform solutions across on-premises and cloud services.
- Support rollout of the Airflow platform and schedule GCP jobs on Spark and BigQuery.
- Own monitoring, alerting, and budget management for data platform pipelines.
- Collaborate with Business Analysts, the Royalties team, ML Engineers, and other stakeholders to deliver fit-for-purpose data solutions.
- Participate in quarter planning, sprint planning, daily standups, and retrospectives.
- Propose and implement improvements to the existing technology stack and data pipelines.
Requirements
- At least 5 years of experience in Data Platform Engineering.
- Solid experience with operations topics including CI/CD, monitoring, infrastructure, software deployment, and FinOps.
- Experience with Ansible, Terraform, and Kubernetes.
- Solid experience with Spark/Scala, Python, SQL, BigQuery, and ETL management.
- Strong organization, proactivity, and teamwork skills.
- Fluent English.
- Experience with GCP, Airflow, Iceberg, Kafka, Kafka Connect, Grafana, and Looker Studio is preferred.
Benefits
- Inclusive, diverse, and collaborative international work environment.
- English and French courses, diversity and inclusion talks, e-learning, and manager training.
- Health insurance and transportation benefits.
- Free Deezer Premium family account and access to gym classes.
- Access to more than 70 Deezer Communities, regular parties, and weekly drinks.
- Allowances for sports, travel, and culture, plus meal vouchers.
- Hybrid remote work policy and offices in dynamic districts in Paris, London, or São Paulo.
Tech Stack
AnsibleApache AirflowApache KafkaApache SparkGoogle BigQueryGoogle Cloud PlatformGrafanaKubernetesLooker StudioMariaDBPythonScalaSQLTerraform
Categories
Data EngineeringDevOps