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Builds and optimizes scalable data pipelines and real-time processing systems for a logistics company’s growing international platform, ensuring data quality and reliability while collaborating with cross-functional teams.
Build and scale a modern data platform with real-time pipelines, Data Lake/NoSQL environments, and Big Data processing solutions for an international logistics group, collaborating with Data, Product, IT, and ML teams.
Senior Data Engineer builds and optimizes Azure-based data pipelines and models to automate workflows and support analytics for a fintech trading firm.
The Lead AI Data Engineer will design and implement scalable Azure-based data architectures and platforms to support AI, machine learning, and GenAI initiatives within a banking environment. This role involves defining data standards, governance, and integration patterns while collaborating with cross-functional teams to build the technical foundation for a new AI Lab.
The Senior Data Engineer will design, build, and optimize scalable data platforms and pipelines using the Microsoft Azure ecosystem, including Microsoft Fabric and Azure Synapse. The role focuses on developing automated data solutions, supporting AI initiatives, and ensuring data quality and performance for business intelligence.
Builds and maintains scalable data architectures on Microsoft Fabric and Azure, designing ETL/ELT pipelines, semantic models, and governance frameworks to power BI, analytics, and AI solutions.
The Senior Data Engineer will design and maintain scalable data architectures using Microsoft Fabric and Azure, including managing data lakes and warehouses. The role involves developing ETL/ELT pipelines and collaborating with data teams on modeling and architecture.
Max Capital is seeking a Data Engineer to build and scale data architectures, manage data pipelines, and integrate data sources with AI models. The role involves working with Python, SQL, and various Big Data technologies to support financial strategy and operations.
The Software Engineer will build and design distributed storage, data lake infrastructure, and database components using LSM-based engines. The role involves developing scalable storage systems and collaborating with cross-functional teams on data architectures.
The Software Engineer will design and optimize distributed storage, stream processing, and RocksDB components to support scalable data platforms and AI data pipelines at ByteDance.
This role involves building and maintaining scalable, high-performance distributed storage systems and data lake architectures. The engineer will design database components and implement both offline and real-time data processing frameworks using technologies like C++, Java, and various distributed systems tools.
Data Engineer designing and maintaining scalable data pipelines, data warehouses, and cloud-based data platforms using SQL, Oracle PL/SQL, Python, and AWS services to support analytics and business decision-making.
Data Engineer in Singapore building production-grade ETL/ELT pipelines and working with big data frameworks on cloud platforms (AWS, Azure, GCP), using SQL, Python, Spark, Kafka, and various databases.
Project description ¿Es usted el solicitante adecuado para esta oportunidad? Descúbralo leyendo el resumen del puesto a continuación. The primary goal of the project is the modernization, maintenance and development of…
This role involves building and deploying cloud-based Generative AI applications within the Microsoft Azure ecosystem. The developer will work primarily on the backend using Python or .NET, with occasional frontend tasks in React/Next.js, focusing on LLMs, RAG, and agent-based architectures.
Junior Data Engineer in a Madrid-based fintech company (hybrid) managing databases, building Data Lake pipelines, and creating BI dashboards using SQL, TypeScript, and tools like PowerBI or Tableau.
Senior Azure Data Engineer designing scalable data pipelines, processing, and insights in Microsoft Azure/Fabric, focusing on ingestion, governance, security, and AI integration for aeronautical software solutions.
Designs and maintains AWS-based data pipelines, Data Lake frameworks, and real-time data processing systems for fintech clients, using Spark, Python, and Kafka to optimize data workflows.
Builds and deploys cloud-based generative AI applications in the Microsoft ecosystem, focusing on backend (Python/.NET) with React/Next.js for frontend needs, and owns full lifecycle of AI services like LLMs, RAG, and agent-based architectures.
LT Data Integration Engineer En Ready Buscamos un(a) LT Data Integration Engineer con experiencia en el diseño, desarrollo y operación de soluciones de integración de datos empresariales utilizando Informatica…
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