GCP Data Engineer: Real-Time Data Pipelines

-- A Data Architect is an IT expert who enables data‑driven decision making by collecting, transforming, and publishing data. At NTT Data, a Data Architect should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance, scalability and efficiency, reliability and fidelity,...

As a Data Architect at NTT DATA, you design, build, and govern data processing systems to empower data-driven decision making. You will create scalable, secure data pipelines in GCP, turning raw data into actionable insights that support business value. You collaborate with business partners to align data solutions with priorities, and you contribute to...

NTT DATA, Inc. is seeking a Data Architect to design, build, and govern data processing systems in a global context. You will create scalable, secure pipelines on Google Cloud, turning raw data into actionable insights and supporting data-driven decision making across the business. You will collaborate with partners to align data solutions with priorities...

Per azienda cliente, system integrator operante su progetti di respiro internazionale, ricerchiamo un: Data Engineer La risorsa inserita in un team dati dinamico, con focus su progettazione, sviluppo e ottimizzazione di pipeline dati su architetture cloud moderne, si occuperà di: Progettare, sviluppare e mantenere pipeline ETL/ELT su Databricks ...

Job ID: a1J2p ipbhEAAPosted: Location: Milan, Roma, Turin, Pisa, Napoli, Treviso, Cosenza, Bari, Salerno, Bologna, ItaliaSpecialization: AWS Data EngineerWork Modality: Híbrido/FlexibleProcess: a072p00001MNAPHAA5Company: NTT DATAOffer DescriptionYour role as an AWS Data Engineer in NTT Data will be work on AWS Data Platform projects, working in partnership...

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NTT DATA is seeking an AWS Data Engineer to work on AWS Data Platform projects, collaborating with analysts and solution architects to meet data needs and outcomes. You will deliver data acquisition, transformations, cleansing, and loading into data lakes for analytics and ML models. Responsibilities include defining deployment practices, migrating with zero...

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