
Data Platform Developer
2 days ago
We are seeking a skilled Cloud Platform Engineer to join our team. As a Cloud Platform Engineer, you will play a key role in designing, building, and scaling mission-critical platform services that power next-generation AI and cloud applications.
About the RoleThis is an exciting opportunity for a motivated individual to shape the future of cloud-native data platforms from the ground up, working alongside top cloud and data experts.
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.
- 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, including GitLab CI, Jenkins, or ArgoCD.
- Basic understanding of Data Pipelines and Data Engineering concepts.
- Opportunity to work on cutting-edge cloud-native data platforms.
- Collaborative and dynamic work environment.
- Ongoing training and professional development opportunities.
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