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 productive 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

📌 Data Engineer Role at Beatdapp (Vancouver)
🏢 Experimentation Jobs
📍 Vancouver