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1 day ago
We are seeking a skilled Cloud Data Platform Engineer to design and implement cutting-edge data platforms from the ground up.
- Key Responsibilities:
- Design technical architecture for Cloud Data Platform services including data ingestion, processing, storage, query, visualization, security, and governance.
- Implement and integrate Data Platform components such as 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.
- Research and propose new technologies to optimize performance and enhance the product.
- Requirements:
- 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 such as Kafka, Airflow, and Spark.
- Strong scripting skills in Python or Bash.
- Experience with CI/CD and GitOps using GitLab CI, Jenkins, or ArgoCD.
- Basic understanding of Data Pipelines and Data Engineering concepts.
The ideal candidate will possess strong problem-solving skills and be able to communicate complex technical concepts to both technical and non-technical stakeholders.
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