About the Role
Transform data into insights as a Data Engineer at Beatdapp. Focus on designing scalable pipelines and managing Kubernetes for advanced streaming solutions.
Beatdapp is looking for a Data Engineer to develop efficient data pipelines that handle large-scale streaming data. The role requires you to manage multi-cluster Kubernetes environments while ensuring high availability through autoscaling for machine learning. You'll also be tasked with orchestrating A/B testing and achieving end-to-end observability across services.
Key Responsibilities: • Develop scalable data pipelines for streaming information • Manage cloud-based Kubernetes clusters • Ensure autoscaling for optimum ML performance • Implement A/B testing strategies for deployments • Guarantee observability across services
Requirements: • Experience with data engineering tools and practices • Familiarity with Kubernetes operations • Knowledge of machine learning implementation • Expertise in building h...
Beatdapp is looking for a Data Engineer to develop efficient data pipelines that handle large-scale streaming data. The role requires you to manage multi-cluster Kubernetes environments while ensuring high availability through autoscaling for machine learning. You'll also be tasked with orchestrating A/B testing and achieving end-to-end observability across services.
Key Responsibilities: • Develop scalable data pipelines for streaming information • Manage cloud-based Kubernetes clusters • Ensure autoscaling for optimum ML performance • Implement A/B testing strategies for deployments • Guarantee observability across services
Requirements: • Experience with data engineering tools and practices • Familiarity with Kubernetes operations • Knowledge of machine learning implementation • Expertise in building h...
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