
Cloud Data Engineer
1 day ago
About This Role
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- Key Responsibilities:","
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- Design technical architecture for cloud-native data platforms, including ingestion, processing, storage, query, visualization, security, and governance.","
- Implement and integrate Data Platform components: Kafka, NiFi, Airflow, Spark, Flink, Iceberg, Trino, Superset, dbt.","
- Build and operate CI/CD systems and Infrastructure as Code (Terraform, Helm, ArgoCD).","
- Research and propose new technologies to optimize performance and enhance the product.","
- Operations & Managed Services","
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- Support deployment, configuration, and optimization of Cloud Data Platform for customers.","
- Monitor, troubleshoot incidents, and ensure service SLA compliance.","
- Operate monitoring, alerting, and logging systems (Prometheus, Grafana, ELK, Loki).","
- Support troubleshooting of data pipelines, data source connections, and security incidents.","
- Participate in training and guiding customers on platform usage.","
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- Mandatory","
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- 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 (e.g., Kafka, Airflow, Spark).","
- Strong scripting skills (Python or Bash).","
- Experience with CI/CD and GitOps (GitLab CI, Jenkins, or ArgoCD).","
- Basic understanding of Data Pipelines and Data Engineering concepts.","
- Nice-to-have","
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- Experience in designing or operating Data Lakehouse / Data Warehouse.","
- Experience providing Managed Services for enterprise customers.","
- Knowledge of data security (IAM, RBAC, TLS, Network Policy, etc.).","
- Relevant certifications in Kubernetes (CKA, CKAD) or Cloud (AWS, GCP, Azure).","
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