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You will own the data engineering and availability approach for the Robotic Storage Analytics team, spearheading the transition to a more effective data platform. You'll design and implement scalable data architectures using AWS technologies to handle increasing data volumes, while developing robust data models and efficient ETL/ELT processes. Your role will involve creating and maintaining critical metrics and KPIs for software, hardware, solutions engineers, and stakeholder teams. You'll partner closely with data scientists and business intelligence engineers to enhance reporting and inspection processes, with a focus on automation and self-service help. You'll establish and enforce data governance policies, implement quality controls, and set up monitoring mechanisms. Your expertise will be crucial in designing and building data integration pipelines to consolidate information from various sources into a unified platform. You'll optimize the performance of business-critical queries, resolve ETL job-related issues, and develop automation solutions using programming languages for data ingestion, publishing, and analytics. You'll build automated solutions to bridge the gap between new product development and generally available tools.
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