... agents, and shows up in the accuracy we report to banks. Triple is building the intelligence layer for financial services. From our roots in merchant transaction data, we've expanded to solve one of the industry's biggest challenges: dispute and fraud management. With $10M in funding and a global footprint spanning over 60 ...
... enterprise-scale Microsoft Fabric and Azure data solutions, building robust pipelines and scalable data architectures across complex environments. Build and evolve Data Solutions on Azure, Microsoft Fabric and Databricks. Take end-to-end ownership of data pipelines, from data processing to BI-ready datasets. Deliver real consulting ...
... datos y con la nube pública de AWS. AI in AWS (Sagemaker), Cloud Computing in AWS (Lambda), Cloud Formation / CDK, Cloud Monitoring in AWS (CloudWatch & X-Ray), Data Analytics in AWS (Glue & Athena), Generative AI. - Experiencia con Python, Spark / Pyspark, SQL. - Conocimientos de patrones de arquitectura cloud y data. - Orientación ...
¡Forma parte del futuro de Paradigma! Buscamos un Senior Data Engineer para participar en un proyecto de nuestro área de Data con experiencia en mantenimiento, optimización, integración , gestión del ciclo de vida y calidad del dato basado en cloud. ¿Que buscamos? Buscamos un Data Engineer ...
Product Owner - Data & Analytics (Las Rozas (Madrid)-España) Schaman es una scale-up española que desarrolla la herramienta líder en AI Customer Service. Nuestro producto AI SaaS es utilizado por grandes compañías a nivel nacional e internacional para atender a sus clientes de forma automatizada tanto en canales digitales ...
Product Owner - Data & Analytics (Las Rozas (Madrid)-España) Quiénes somos Schaman es una scale-up española que desarrolla la herramienta líder en AI Customer Service. Nuestro producto AI SaaS es utilizado por grandes compañías a nivel nacional e internacional para atender a sus clientes de forma automatizada tanto en canales ...
... nuestros medicamentos, independientemente de la prevalencia de su patología, contribuyendo así a mejorar su calidad de vida. Actualmente buscamos incorporar un/a Data Analyst & Automation Specialist para Nutribrain , una compañía especializada en la fabricación y comercialización de suplementos alimenticios naturales, orientados ...
... and state-of-the-art technologies to deliver product excellence and customer success. The role leads a team of 6-8 data analysts with a strong focus on website data extraction. The team configures crawlers using our toolchain to extract data from websites. The data is handed over to our data platform for processing using ...
¡Buscamos Senior Backend / Data Engineer – Python & Django! En Infoser NT buscamos incorporar un/a Senior Backend / Data Engineer para participar en un proyecto tecnológico internacional enfocado en el desarrollo y evolución de una plataforma de gestión, procesamiento y explotación de datos. Buscamos un perfil con una base ...
... environments (Scrum/Kanban, DevOps, CI/CD).GCP & Data Expertise: Deep hands-on experience with Google Cloud Platform, particularly BigQuery SQL, Cloud Storage, Dataflow, and Pub/Sub.Data Migration Knowledge: Solid track record in data integration and migration projects, specifically transitioning systems from Teradata to ...
... synthetic and masked datasets representing real-world client scenarios (onboarding, advising, compliance checks, transaction flows). - Coordinate with IDMC and Test Data Management teams on environment refresh activities and data population plans. - Support automation of test data provisioning using scripting (SQL, Python, Shell) ...
... ofreciéndote proyectos punteros dentro de las ramas de I+D, automoción, pharma, diseño de maquinaria, desarrollo de producto, etc. Buscamos un/a Oracle DBA – RAC, Data Guard & GoldenGate. Funciones : - Administración y gestión del día a día de los sistemas Oracle de la compañía. - Mantenimiento, monitorización y soporte de entornos ...
... Collaborate with customers to extract requirements from legacy Word documents and map them into structured Vault environments - Reconcile customer-specific metadata to ensure data alignment and consistency across the entire validation lifecycle - Execute bulk data loads and manage staged data for customer workshops and process ...
About the role En Nexus Analytics, empresa líder en soluciones tecnológicas para el sector de fintech y servicios financieros, buscamos un/a Senior Data Analytics & BI Engineer para unirse a nuestro equipo en expansión. Serás responsable de diseñar, desarrollar e implementar soluciones avanzadas de analytics y business ...
Aktios Spain is looking for a Senior Data Scientist to enhance predictive maintenance in aviation through machine learning solutions. The ideal candidate will develop ML solutions, mentor junior scientists, and collaborate with stakeholders. Candidates should possess strong skills in Python, XGBoost, and machine learning ...
... landscape, and we’re on track to reach €1 billion in revenue this year. Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. Cloud & Application Services: We integrate leading platforms ...
... policies Your Profile - Experience: 3+ years of professional experience in Data Engineering, ideally with exposure to adtech, martech, or e-commerce/retail media data - Database & Warehousing: Strong SQL skills alongside hands-on experience with modern Data Warehouse solutions such as GCP BigQuery or AWS Redshift, including ...
... policies Your Profile - Experience: 3+ years of professional experience in Data Engineering, ideally with exposure to adtech, martech, or e-commerce/retail media data - Database & Warehousing: Strong SQL skills alongside hands-on experience with modern Data Warehouse solutions such as GCP BigQuery or AWS Redshift, including ...
... https://jobeax.com/link/QotHJ2ZaNqQUpgnp is a foundational role at the intersection of marketplace economics, machine learning, and financial systems. You will partner deeply with Data Science and Engineering to productionize predictive models, define evaluation frameworks, manage model lifecycles, and ensure intelligence systems are measurable, ...