Logo NTT DATA ITALIA SPA

Azure Data Engineer

NTT DATA ITALIA S.P.A. Bologna (BO)
Remote working: Parziale
Tipo di Offerta:Full time
Tipo Contratto: Da definire
Seniority:Senior
Esperienza: da 5 a 0 anni
Categoria: Data Analyst
Titolo di Studio: Non richiesta
Tag:

Pubblicato 12-09-2024

NTT DATA, Trusted Global Innovator, è tra i principali player a livello mondiale in ambito IT services.

Con più di 140.000 professionisti in oltre 50 Paesi in tutto il mondo, siamo protagonisti e acceleratori della trasformazione digitale offrendo ai nostri clienti soluzioni tecnologiche e innovative progettate su misura.

Il motore di NTTDATA sono le persone, ognuna con la propria unicità, talento ed attitudine.

Abbiamo costruito una Smile Working Company in cui la cura, l’ascolto delle persone, il loro benessere e sviluppo delle competenze sono la nostra priorità. Abbiamo creato spazi di lavoro che favoriscono il senso di comunità e lo scambio costruttivo di esperienze.



Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento!

***/it



Responsibilities

Your role as an Azure Data Engineer in NTT Data will be supporting customers in Big Data projects, working in partnership with business analysts and solution architects to understand use cases, data needs, and outcome objectives. In this role, you will deliver data acquisition, transformations and improvement, cleansing, conversion, compression, and loading of data into data lakes in order to be consumed by analytics and machine learning models.



The Azure Data Engineer in NTT Data knows the challenges of a cloud native environment,



Is able to think outside the box finding innovative, yet simple, solutions to every day issues, and share those solutions with the rest of his team.



We are looking for an engineer that can be the bridge between Data Science and Data Engineering, having a clear understanding of both worlds.



If you are a Data Scientist looking for more experience in preparing data, or a Data Engineer with interest also in Data Science, willing to have a KAIZEN approach, continuously improving technical skills and knowledge, you can be an Azure Data Engineer in NTT Data’s Business Intelligence Service Line, in an environment where Japanese and European cultural elements are intertwined

Required Skills



Working experience in a cloud native environment in at least one of the 3 major public clouds (GCP/AWS/Azure), 5 years experience on Azure is preferred
Experience and knowledge of Big Data Architectures, cloud and on premise
Azure infrastructure and networking working experience
Experience in building and deliver proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
Working experience in migrating workloads from on premise to cloud environment
Experience in monitoring distributed infrastructure, using Azure tools or open source ones (es: Grafana, Prometheus)
Proven experience in: Java, Scala, Python, and shell scripting
SQL language knowledge
Working experience with Agile Methodology and Kanban
Experience in leading medium teams
Working experience with: Apache Spark, Databricks, Azure Data Factory, Azure Synapse, and other Azure related ETL/ELT tools
Microsoft Certifification: Azure Data Engineer Associate or Azure Solutions Architect Expert
Desired skills, experiences and certifications:



Other Big Data certification, such as Cloudera, Databricks, etc. are welcome
Experience with non Azure ETL/ELT solutions (Talend, Oracle Data Integrator, Informatica PowerCenter, etc.)
Experience with Data Visualization solutions (PowerBI, Qlik, Tableau, etc.);


Location: Milano, Bari, Bologna, Cosenza, Napoli, Roma, Salerno, Torino


Condividi

Questo sito o gli strumenti terzi da questo utilizzati usano cookie tecnici proprietari e cookie analitici di terze parti che migliorano la navigazione e il funzionamento del sito. Se volete saperne di più o eliminare i cookie consultate l’Informativa sui cookie nella sezione dedicata. Chiudendo questo banner, scorrendo questa pagina, cliccando su un link o proseguendo la navigazione in altro modo acconsentite all’uso dei cookie.