
Cloud Native Data Platform Specialist
1 week ago
We are seeking a highly skilled Data Platform Engineer to join our team. As a key member of our Cloud PaaS team, you will be responsible for designing and building mission-critical platform services that power next-generation AI and cloud applications.
This is a unique opportunity to shape the future of cloud-native data platforms from the ground up, working alongside experts in the field.
About the RoleThe ideal candidate will have 3-5 years of experience in DataOps, DevOps, or Platform Engineering, with a strong background in Kubernetes, Docker, and microservices architecture.
They should also have hands-on experience deploying or operating data platform services such as Kafka, Airflow, Spark, and Terraform.
Key Responsibilities- Design technical architecture for cloud data platforms services.
- Implement and integrate data platform components.
- Build and operate CI/CD systems and infrastructure as code.
- Research and propose new technologies to optimize performance and enhance the product.
- 3-5 years of experience in DataOps, DevOps, or Platform Engineering.
- Proficiency in Kubernetes, Docker, and microservices architecture.
- Hands-on experience with data platform services such as Kafka, Airflow, Spark, and Terraform.
- Strong scripting skills in Python or Bash.
- Experience with CI/CD and GitOps.
As a Data Platform Engineer at our company, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team, and develop your skills in a fast-paced environment.
You will also have access to ongoing training and development opportunities, allowing you to stay up-to-date with the latest technologies and trends in the industry.
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