
Cloud Data Platform Specialist
15 hours ago
Our organization is seeking a talented Platform Engineer to join our team. This individual will be responsible for designing, building and scaling mission-critical platform services that power next-generation AI and cloud applications.
About the RoleThis position requires a strong background in data engineering, with experience in designing and operating data platforms. The ideal candidate will have hands-on experience deploying or operating data platform services, such as Kafka, NiFi, Airflow, Spark, Flink, Iceberg, Trino, Superset, and dbt.
- We are looking for someone who can design technical architecture for cloud data platform services.
- The successful candidate will have strong scripting skills, proficiency in Kubernetes, Docker, and microservices architecture.
- Experience with CI/CD and GitOps is also highly desirable.
- Collaborate with cross-functional teams to design and develop cloud data platform components.
- Implement and integrate data platform services, including deployment, configuration, and optimization.
- Research new technologies to optimize performance and enhance the product.
- Support customers with deployment, configuration, and optimization of cloud data platform services.
- Maintain monitoring, alerting, and logging systems to ensure service SLA compliance.
- Participate in training and guiding customers on platform usage.
Must-have:
- 3-5 years of experience in data engineering, devops, or platform engineer roles.
- Strong understanding of data pipelines and data engineering concepts.
- Experience with cloud-based products and solutions.
Nice-to-have:
- Experience in designing or operating data lakehouse/data warehouse.
- Relevant certifications in Kubernetes (CKA, CKAD) or Cloud (AWS, GCP, Azure).
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