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DRW est une société de négoce diversifiée avec plus de 3 décennies d'expérience qui réunit une technologie sophistiquée et des personnes exceptionnelles pour opérer sur les marchés du monde entier. Nous valorisons…
Build and own healthcare analytics solutions—custom data models, dashboards, and predictive models—to help customers improve outcomes and reduce costs using SQL, dbt, QuickSight, and AWS.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
Design and maintain scalable data pipelines and infrastructure to process complex chemical data (chromatograms) for ML model training and deployment in a healthcare/climatetech context.
Build and maintain cloud-based data pipelines in Azure and Microsoft Fabric to ingest, transform, and deliver marketing data for B2B analytics and client solutions.
Build and maintain cloud-based data pipelines and ETL workflows in Azure and Microsoft Fabric to ingest, transform, and deliver marketing data for B2B analytics and client reporting.
Design and maintain scalable data pipelines and ETL workflows using Python, PySpark, Databricks, and AWS services to build secure, compliant data platforms for federal clients.
Works as a Data Engineer building and maintaining data pipelines in Azure and Databricks environments, collaborating with business areas to ensure data quality, security, and governance. Core technologies include Azure, Databricks, SQL, and Python.
Design, develop, and optimize scalable data pipelines on Azure Databricks using Apache Spark/PySpark, Azure Data Factory, and Delta Lake to support advanced analytics in a banking context.
Build real-time data pipelines and ML workflows on AWS, integrating LLMs into agentic CX features for NiCE’s workforce-management products.
Builds and maintains enterprise-scale data pipelines on Microsoft Azure for Rabobank, ensuring data-driven decision-making across the bank’s agribusiness operations.
Lead architecture and delivery of AI-native Amazon Connect contact center solutions, building generative AI agents with Bedrock/Claude, orchestration patterns, and full-stack serverless systems while mentoring teams.
Senior Data Engineer building greenfield ML data infrastructure—lakehouse architecture, training pipelines, feature stores, and pipeline observability—on GCP using Python, Spark, Kafka, and Airflow for a healthtech SaaS platform.
A Data Engineer responsible for designing and implementing scalable data pipelines, transforming business requirements into reliable data assets, and ensuring data accuracy across the enterprise, working with multiple teams including Data Governance, Analytics, and IT systems.
The Senior Data Engineer will support regional partners by implementing ETL/ELT flows using Big Data tools like Spark, Python, Azure Data Factory, Azure Synapse, and Azure Databricks, while maintaining and monitoring the Enterprise Data Lake platform.
Senior Data Engineer will build high-quality data solutions using ETL/ELT with Spark, Python, Azure Data Factory, Synapse and Databricks within the Enterprise Data Lake environment, monitoring performance and collaborating with Agile teams.
Daylight is a security services company delivering Managed Agentic Security Services (MASS), including MDR, threat hunting, security data lake, and more, through a fundamentally different architecture than traditional…
A AI/R RUN é a frente de Growth Marketing, Data Intelligence, CRM Strategy e Design do grupo AI/R — Agentic AI Software Engineering. Reunimos mais de 500 especialistas certificados nas principais plataformas do mercado…
Builds full-stack applications using Node.js/Python for backend services and Angular for frontend, focusing on REST APIs, event-driven architectures, and AWS cloud integration for scalable solutions.
The Lead Data Scientist will own and maintain the production-grade Python infrastructure for FX pricing, risk analytics, and trading systems. This role involves managing real-time data pipelines and microservices while collaborating with traders and quants to evolve quantitative models.
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