Data Architect

3 settimane fa

Milano, Lombardia, Italia GFT Technologies SE A tempo pieno

Descrizione del Ruolo:

GFT Italia sta cercando un Architetto dei Dati con competenze in ambito Dati, con almeno 5 anni di esperienza nel ruolo, da inserire all'interno della nostra Practice Data&AI. Una risorsa che sappia valutare e definire le strategie correlate alle architetture Dati, sia tradizionali sia basate su tecnologie Big Data e che abbia ben chiara l'importanza degli aspetti di governance delle informazioni e della sicurezza associata alla gestione dei dati.

Responsabilità:

  • Supportare la definizione delle strategie di utilizzo dei dati abilitate dalla architettura tecnologica, attraverso assessment e l'identificazione della migliore soluzione target nel contesto cliente
  • Definire e sviluppare le architetture dati dei nostri clienti (per le componenti di Data Engineering, Business Intelligence e Advanced Analytics) anche attraverso POC, documentandone lo sviluppo e identificando potenziali aree di miglioramento all'interno dei progetti.
  • Offrire supporto in fase di analisi e discussione della proposta di progetto (RFP, RFI, etc) e collaborare a stretto contatto con i team competenti per garantire che la soluzione sviluppata sia allineata alle esigenze del cliente e alla GFT Value Proposition.
  • Garantire la qualità del progetto attraverso pratiche di quality assurance.
  • Presidiare la formazione professionale e tecnica di tutte le figure coordinate nell'area di competenza.

Competenze Tecniche:

  • Data Management: Conoscenza avanzata di tecniche e strumenti di Data Management, incluse pratiche di data ingestion, storage, processing e integration.
  • Tecnologie Big Data: Esperienza con ecosistemi Hadoop, Spark, e piattaforme cloud come AWS, Azure, e Google Cloud Platform.
  • Data Warehousing: Competenze nella progettazione e implementazione di soluzioni di data warehousing utilizzando tecnologie come Redshift, BigQuery, Snowflake.
  • Data Engineering: Esperienza con pipeline di dati e strumenti ETL/ELT come Apache NiFi, Talend, e Informatica.
  • Database NoSQL: Conoscenza di database NoSQL come MongoDB, Cassandra, HBase, e tecnologie di data lake.
  • Data Governance: Padronanza dei principali tools di Data Governance (IBM IGC, Informatica Axon, EDC, ecc.) e Data Quality (IDQ, Irion, ecc.).
  • Machine Learning Operations (MLOps): Conoscenza nella gestione di modelli di Machine Learning in produzione, compresi strumenti come MLflow e TensorFlow (TFX).
  • Modellazione Dati: Competenza specialistica nella modellazione dei dati: Fact-Dimensioni, Data Vault, ER, SCD, ecc.
  • Sicurezza dei dati: Conoscenza delle migliori pratiche di sicurezza per la protezione dei dati, incluse tecniche di crittografia e gestione degli accessi.
  • Metodologie di Project Management: Conoscenza approfondita e autonoma delle principali metodologie di Project Management, incluse metodologie Agile e Scrum.
  • Risk Analysis: Conoscenza generale delle principali metodologie di Risk Analysis e gestione dei rischi associati a progetti Big Data.
  • Documentazione: Competenza specialistica nella predisposizione di documentazione progettuale, architetturale e funzionale.
  • Strumenti di produttività: Padronanza dei principali strumenti di MS Office (Excel, PowerPoint, Word, Project).

Se ti rivedi nel profilo descritto, fai application e noi daremo spazio al tuo talento.

Chi siamo?

GFT Technologies SE (GFT) fondata nel 1987, è oggi rappresentata da un team globale di circa 12.000 dipendenti in Europa, Nord e Sud America e Asia. Siamo costantemente impegnati a guidare la trasformazione digitale nel settore dei servizi finanziari, forniamo consulenza alle principali istituzioni finanziarie a livello mondiale e sviluppiamo soluzioni IT su misura – dalle applicazioni bancarie e sistemi di trading fino all'implementazione e al supporto di piattaforme complete, e modernization di sistemi core banking. Il nostro innovation team, che opera a livello globale, sviluppa, inoltre, nuovi modelli di business, focalizzandosi su temi quali blockchain, cloud engineering, intelligenza artificiale e Internet of Things, trasversalmente in tutti i settori.

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