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Leads Snowflake migrations and pipelines for enterprise clients, mentors teams on Snowpark/Scala/Spark, and sets best practices for scalable data engineering in a hybrid cloud environment.
Designs and builds scalable data pipelines and Snowflake environments for enterprise clients, migrating legacy Hadoop systems and enforcing clean-code practices.
Build and maintain high-performance data pipelines using Scala, Spark, and Snowflake, migrating legacy Hadoop workloads and ensuring clean, testable code in an Agile environment.
Build and maintain Snowflake/Snowpark pipelines for a global lifestyle brand’s customer data platform, enabling faster, reliable access to insights for personalised interactions.
Design and deliver scalable data platforms and pipelines for clients in regulated sectors like banking and life sciences, enabling AI and analytics use cases.
Build and ship production-grade Python services and APIs for portfolio construction, trading, and analytics in a global asset manager, working directly with investment teams and using AI tools daily.
Design and deliver enterprise Snowflake data platforms, lead client-facing technical discussions, and optimize cloud data solutions for large-scale transformations.
Lead the architecture and development of Pantheon’s data platform, extending it to surface insights in products and power ML/LLM-driven features using Python, Snowflake, Airflow, Kubernetes, and Terraform.
Senior Solution Engineer at Snowflake designs and demonstrates data platforms, builds AI-powered demos, and guides enterprises on Snowflake’s Data Cloud for analytics and AI applications.
Design and govern enterprise-scale AI-ready data platforms using Azure Databricks, Snowflake, and Delta Lake to enable analytics, GenAI, and ML workloads.
Designs and governs enterprise-scale data platforms using Azure Databricks, Snowflake, and Lakehouse architecture to enable AI, analytics, and GenAI workloads.
Build and deploy ML models to detect debit fraud in real time, using Python, Spark, and gradient boosting, while collaborating with engineers and product teams to protect customers.
Build full-stack web apps with React/Next.js front-end and Java/Node.js back-end, focusing on scalable data pipelines using Snowflake, DBT, and cloud services.
Design and build scalable, cloud-native data pipelines and architectures using AWS, GCP, Azure, Snowflake, or Databricks to power real-time and batch analytics for enterprise AI solutions.
Design and build Snowflake-based data platforms for clients, ensuring they are AI-ready while using tools like dbt, Fivetran, and Airflow.
Builds and optimizes a modern manufacturing data platform using Snowflake, DBT, and Matillion to turn operational data into trusted analytics-ready solutions for reporting and future AI use.
Data Engineer (Snowflake & GCP) Team: Engineering Location: Ciudad de México, Colombia, Lima, México Commitment: Contract | Remote Workplace Type: remote Sobre Coderio Coderio diseña y entrega soluciones digitales…
Build and evolve a React/TypeScript and Node.js full-stack app in AWS for Hyatt’s finance team, comparing hotel investments using cloud databases and serverless services.
Builds and optimizes Salesforce Data Cloud to create unified customer profiles and AI-driven personalization for PVH’s fashion brands using Salesforce tools and cloud integrations.
KSL Capital Partners – Information Technology - AI Data Engineer – Denver, CO Description KSL Capital Partners, LLC (“KSL”) is a leading global private equity firm specializing in travel and leisure enterprises. KSL…
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