Senior Data Engineer

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Overview Senior Data Engineer 📍 Brazil | 🌐 Remote About the Role As a Senior Data Engineer at Hyland, you'll be at the heart of building the data foundation that powers enterprise-wide intelligence. You'll design and maintain scalable data pipelines, develop end-to-end analytical solutions, and work with large, diverse datasets to unlock meaningful insights. This is a high-impact individual contributor role for someone who brings deep technical expertise, thrives in a fast-paced environment, and is passionate about elevating the craft of data engineering across the team. Your Tools SQL & Python Apache Spark / Flink TensorFlow / PyTorch Metaflow / MLFlow / AWS Glue AWS Data Platform Terraform & Docker Datadog / Grafana / Prometheus CI/CD Tools Your Role Responsibilities – Here's What You'll Do Design, build, and maintain scalable data pipelines to clean, transform, and prepare data for analysis and operational deployment across the enterprise. Develop end-to-end solutions from data extraction through to operational deployment, working with large datasets from diverse sources to enable valuable insights and analytics. Evaluate and enhance data and ML models; promote best practices for modeling and ensure scalable operational needs are met consistently across the team. Ensure data storage and processing meet security standards and comply with relevant regulations; create and maintain thorough documentation for pipelines, architectures, and processes. Operate as a trusted advisor

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