
Cloud Native Data Platform Specialist
16 hours ago
This role offers a unique opportunity to shape the future of cloud-native data platforms from the ground up, working alongside top cloud and data experts.
As a Cloud Native Data Platform Engineer, you will collaborate with the team to design technical architecture for Cloud Data Platform services, including Data Ingestion, Processing, Storage, Query, Visualization, Security, Governance.
Key Responsibilities:- Product Development & Research
- Implement and integrate Data Platform components such as Kafka, NiFi, Airflow, Spark, Flink, Iceberg, Trino, Superset, dbt.
- Build and operate CI/CD systems and Infrastructure as Code (Terraform, Helm, ArgoCD).
- Research and propose new technologies to optimize performance and enhance the product.
- Operations & Managed Services for Customers
- Support deployment, configuration, and optimization of Cloud Data Platform for customers.
- Monitor, troubleshoot incidents, and ensure service SLA compliance.
- Operate monitoring, alerting, and logging systems (Prometheus, Grafana, ELK, Loki).
- Support troubleshooting of data pipelines, data source connections, and security incidents.
- Participate in training and guiding customers on platform usage.
- 3–5 years of experience in DataOps, DevOps, Platform Engineer, or Data Engineer roles.
- Proficiency in Kubernetes, Docker, and microservices architecture.
- Hands-on experience deploying or operating at least some Data Platform services (e.g., Kafka, Airflow, Spark).
- Strong scripting skills (Python or Bash).
- Experience with CI/CD and GitOps (GitLab CI, Jenkins, or ArgoCD).
- Basic understanding of Data Pipelines and Data Engineering concepts.
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