
Cloud Native Data Platform Developer
3 days ago
As a Data Platform Engineer, you will be instrumental in designing and building mission-critical platform services for next-generation AI and cloud applications.
Job DescriptionYou will collaborate with our team to design technical architecture for Cloud Data Platform services including data ingestion, processing, storage, query, visualization, security, and governance.
- Design and implement data pipeline components using technologies like Kafka, NiFi, Airflow, Spark, Flink, Iceberg, Trino, Superset, and dbt.
- Build and operate CI/CD systems and Infrastructure as Code using Terraform, Helm, and ArgoCD.
In this role, you will also be responsible for supporting the deployment, configuration, and optimization of Cloud Data Platform for customers.
Required Skills and QualificationsTo succeed in this role, you will need:
- 3-5 years of experience in DataOps, DevOps, or related fields.
- Proficiency in Kubernetes, Docker, and microservices architecture.
- Hands-on experience deploying or operating at least some Data Platform services.
- Strong scripting skills in Python or Bash.
- Experience with CI/CD and GitOps.
- Basic understanding of Data Pipelines and Data Engineering concepts.
This is a unique opportunity to shape the future of cloud-native data platforms from the ground up, working alongside top experts in the field.
OthersOur team is passionate about delivering high-quality solutions that meet customer needs. If you are looking for a challenging role that allows you to grow your skills and expertise, we encourage you to apply.
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