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🚀 We are still looking for the very Top Talent…and we would be delighted if you were to join our team! More in details, UST is a multinational company based in North America, certified as a Top Employer and Great…
Designs and maintains Snowflake-based ETL/ELT pipelines and dimensional data models to feed analytics and AI, ensuring high-quality, governed data for cross-functional teams.
Build and lead Snowflake-based data pipelines and analytics solutions for clients, mentoring teams and enabling AI-driven applications in a hybrid consultancy role.
Build and deploy data pipelines that bridge customer warehouses to Hilbert’s AI growth engine, using ClickHouse, Snowflake, BigQuery, and orchestration tools like Dagster and Airbyte.
Senior Data Engineer builds and optimizes cloud data pipelines for financial services clients using Azure, Snowflake, and Databricks to support analytics and regulatory reporting.
Build and lead Snowpark Container Service, a managed Kubernetes-based platform enabling customers to deploy containerized apps directly in Snowflake’s Data Cloud.
Design, build, and optimize Snowflake data warehouses and cloud infrastructure for analytics workloads.
Lead the design and optimization of a Snowflake-based enterprise data platform, setting architecture standards and mentoring engineers to deliver scalable, AI-ready data products.
Builds and leads Snowpark Container Service, a managed Kubernetes-based platform that lets customers run containerized apps directly on Snowflake’s cloud data platform.
Lead the design and build of a multi-country Snowflake/GCP data platform for credit risk analytics and device financing, using dbt, Datastream CDC, and Snowpipe to deliver real-time, governed analytics across 8 LATAM markets.
Designs and maintains advanced data pipelines, optimizes Snowflake and Snowpark for Python, and builds robust data orchestration using Python.
Build and automate Apple Ads’ Snowflake-based cloud data warehouse on AWS, using Iceberg lakehouse tech and Python to deliver reliable, scalable advertising analytics and pipelines.
Design and deliver enterprise-scale AI/ML and generative AI systems, including RAG, agents, and Snowflake Cortex integrations, while leading architecture reviews and client engagements.
Design and modernize enterprise-scale Snowflake data platforms, build governed, cost-efficient data models, and guide teams on Snowpark, dbt, and Cortex for AI-ready analytics.
Build and maintain scalable data platforms and pipelines using Snowflake, DBT Cloud, and Python/SQL to power AI/ML products and analytics for a global building-materials company.
Build and maintain data/ML pipelines on Snowflake and Azure, create Qlik visualizations, and deploy models via DevOps/ML Ops for a logistics-focused data platform.
Design and optimize Snowflake data solutions, build scalable pipelines with Snowpipe and Snowpark, and maintain SQL-based analytics for enterprise reporting.
Job Family: Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Design, develop, and optimize Snowflake data solutions supporting enterprise…
Build and deploy enterprise AI analytics solutions using Azure AI Foundry, Copilot Studio, and Azure OpenAI to automate insights, power AI assistants, and enhance decision-making across consumer brands.
Builds and maintains scalable data pipelines and warehouses in Snowflake and dbt to feed global analytics and reporting for a CPG joint venture.
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