Data Engineer Role at Beatdapp

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 high-volume data pipelines
• Strong problem-solving skills in data environments

Unlock the potential of streaming data at Beatdapp with your engineering expertise. #J-18808-Ljbffr