{"id":45218,"date":"2022-04-07T11:48:17","date_gmt":"2022-04-07T09:48:17","guid":{"rendered":"https:\/\/www.irion-edm.com\/?p=45218"},"modified":"2024-11-12T15:40:04","modified_gmt":"2024-11-12T13:40:04","slug":"data-engineer-cosafa-competenze-studi","status":"publish","type":"post","link":"https:\/\/www.irion-edm.com\/it\/data-management\/data-engineer-cosafa-competenze-studi\/","title":{"rendered":"Cosa fa un data engineer e quali sono le sue competenze cruciali"},"content":{"rendered":"\n
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Estrarre e integrare i dataset per le successive analisi da parte dei data scientist, business analyst e in generale i Data Consumer<\/strong> all\u2019interno dell\u2019azienda. Aiutare queste figure professionali a comprendere meglio i dati e collaborare nella loro gestione. Usare il<\/strong> Data Catalog<\/strong> aziendale (se presente) per individuare i dati da estrarre. Coniugare il linguaggio IT<\/strong> con quello del business per favorire una migliore comunicazione tra le funzioni aziendali su qualsiasi tema sia connesso all\u2019uso dei dati.<\/p>\n\n\n\n

Tutte queste competenze, non solo tecniche, fanno parte del bagaglio di un Data Engineer: un ruolo cruciale per le aziende che vogliono diventare data-driven<\/strong>, sia che abbiano gi\u00e0 intrapreso questo percorso culturale e organizzativo o lo stiano ancora considerando.<\/p>\n\n\n\n

Fornire il massimo supporto ai professionisti dei dati<\/strong>, mettendoli nelle condizioni di lavorare al meglio, \u00e8 uno degli obiettivi fondanti di Irion EDM\u00ae: scopri l\u2019unica piattaforma<\/a><\/em> proprietaria<\/em> 100% Made in Italy per l\u2019Enterprise Data Management e le opportunit\u00e0 di carriera<\/a> in corso!<\/em><\/p>\n\n\n\n

Data Engineer vs Data Analyst vs Data Scientist<\/h2>\n\n\n\n

La differenza principale tra tutte queste figure professionali \u00e8 che il Data Engineer<\/strong> interviene soprattutto nella fase preparatoria al successivo uso dei dati per le analisi. Un concetto essenziale per definire il suo ruolo \u00e8 quello di data pipeline<\/strong> \u2013 l\u2019insieme delle attivit\u00e0, come suggerisce il termine \u201cconduttura\u201d (pipe) \u2013 che permettono di ricevere flussi di dati da fonti differenti: l\u2019ingegnere dei dati<\/strong> ha il compito di svilupparle, gestirle e aggiornarle con la necessaria manutenzione.<\/p>\n\n\n\n

Se il ruolo del Data Engineer si trova quindi al crocevia tra ingegneria del software da un lato e modelli matematico-statistici-algoritmici dall\u2019altro, il Data Analyst<\/strong> (oltre a saper usare questi ultimi) ha un ruolo chiave nel comunicare con il business<\/strong>, anche tramite tecniche di data visualization<\/strong>, perch\u00e9 \u00e8 l\u2019esperto che si occupa di estrarre informazioni di valore<\/strong> dai dati<\/strong> che sono stati precedentemente strutturati per effettuare le analisi.      <\/p>\n\n\n\n

Di norma un Data Scientist<\/strong> \u2013 come l\u2019Engineer \u2013 \u00e8 in grado di lavorare anche con dati non strutturati, mentre condivide con l\u2019Analyst la capacit\u00e0 di visualizzare i risultati delle analisi<\/strong> per presentarli a interlocutori non tecnici, sovente i business manager. Tra le capacit\u00e0 distintive di uno \u201cscienziato dei dati\u201d figura la conoscenza degli algoritmi di machine learning necessari per realizzare analisi predittive.<\/strong><\/p>\n\n\n\n

Competenze chiave e corsi universitari<\/h2>\n\n\n\n

Spesso per lavorare come Data Engineer<\/strong>, similmente a quanto accade per i Data Scientist, \u00e8 richiesta una laurea specialistica<\/strong> in ambito informatico<\/strong>, ingegneristico o comunque nelle discipline matematiche e scientifiche, solitamente indicate con l\u2019acronimo STEM (science, technology, engineering and mathematics).<\/p>\n\n\n\n

Il corso di laurea magistrale del Politecnico di Torino, \u201cData Science & Data Engineering\u201d<\/strong>, definisce cos\u00ec i compiti quotidiani del Data Engineer: [\u2026] progetta sistemi e processi<\/strong> informatici per l’estrazione, la memorizzazione e l’analisi di grandi moli di dati eterogenei; sviluppa processi informatici per la realizzazione dei processi di analisi dei dati; progetta e utilizza algoritmi di machine learning<\/strong> per effettuare analisi sui dati\u201d.<\/p>\n\n\n\n

Per svolgere al meglio il suo lavoro, spiega l\u2019ateneo, un Data Engineer deve avere \u201celevate capacit\u00e0 analitiche e di astrazione per la risoluzione di problemi data-driven<\/strong>\u201d, oltre a conoscere modelli matematici, statistici e linguaggi di programmazione<\/strong> (gli esempi pi\u00f9 comuni: SQL, R, Python e Scala) necessari per raccogliere, memorizzare e analizzare i dati.<\/p>\n\n\n\n

Tra gli atenei, l\u2019Universit\u00e0 di Modena e Reggio Emilia ha una nuova laurea triennale con taglio statistico in \u201cAnalisi dei dati<\/strong> per l\u2019impresa e la finanza\u201d, nonch\u00e9 una di secondo livello in \u201cAnalisi dei dati per l\u2019economia e il management\u201d. Offrono una laurea magistrale in<\/strong> data science e\/o engineering<\/strong> l\u2019Universit\u00e0 La Sapienza di Roma e l\u2019ateneo di Pisa, quest\u2019ultima focalizzata sull\u2019artificial intelligence (AI<\/strong>).<\/p>\n\n\n\n

La prima prevede \u2013 tra le altre \u2013 il Cloud Computing e la Data Driven Economics<\/strong>, mentre in Toscana si studiano materie come Large-Scale and Multi-Structured Databases<\/strong> e Computational Intelligence and Deep Learning. Un nuovo percorso di studi per formare Data Scientist and Engineer \u00e8 stato attivato dall\u2019Universit\u00e0 di Bergamo.<\/p>\n\n\n\n

Cosa fa un Data Engineer Irion<\/h2>\n\n\n\n

Nella nostra azienda, il Data Engineer contribuisce a realizzare, gestire e implementare soluzioni di Enterprise Data Management<\/strong>: acquisisce dati da fonti diverse, li integra, normalizza, valida, trasforma e prepara<\/strong> per l\u2019uso in applicazioni analitiche e operative.<\/p>\n\n\n\n

Il Data Engineer analizza le esigenze del cliente<\/strong> nonch\u00e9 i dati in ingresso e gli output attesi, le regole di controllo e le architetture che garantiscono Data Quality e<\/strong> Data Governance<\/strong>.<\/p>\n\n\n\n

Per poter lavorare con Irion EDM deve sviluppare nel tempo un\u2019elevata conoscenza sia della piattaforma, sia del linguaggio SQL<\/strong> e saper gestire i task menzionati in tutte le fasi del ciclo di vita del prodotto: dallo sviluppo ai test, fino al deployment e manutenzione.<\/p>\n\n\n\n

Irion Careers: entra nel nostro Team!<\/a><\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Estrarre e integrare i dataset per le successive analisi da parte dei data scientist, business analyst e in generale i Data Consumer all\u2019interno dell\u2019azienda. Aiutare queste figure professionali a comprendere meglio i dati e collaborare nella loro gestione. Usare il Data Catalog aziendale (se presente) per individuare i dati da estrarre. 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