GCP Data Engineer/Data Architect

NTT DATA Europe & Latam; Salerno; Remoto; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

Un'azienda leader in IT services cerca un Data Architect per progettare e costruire sistemi di elaborazione dati nel cloud. Il candidato ideale ha una laurea in informatica e 5-10 anni di esperienza, con competenze in Scala, Java e GCP. Offriamo un ambiente innovativo e opportunità di sviluppo professionale.

Competenze

• Esperienza di almeno 5-10 anni in un ruolo di ingegneria dei dati.
• Forte conoscenza delle tecnologie e della modellazione dei dati.
• Certificazione Google Cloud Data Engineer è un plus.

Mansioni

• Costruire pipeline di dati su larga scala in GCP.
• Collaborare con il team per valutare le esigenze aziendali.
• Partecipare alla pianificazione dei progetti.

Conoscenze

Scala

Java

Python

SQL

Google Cloud Platform

Data Modeling

CICD

Agile methodologies

Formazione

Laurea in Informatica o Ingegneria Informatica

Strumenti

BigQuery

Dataflow

Dataproc

Hadoop

Hive

Descrizione del lavoro

Overview

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!

www.nttdata.com/it

Responsibilities

A Data Architect is an IT expert that enables data-driven decision making by collecting, transforming, and publishing data. In 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, flexibility and portability. The main mission of a Data Architect is to turn raw data into information creating insight and business value.

• Build large-scale batch and real-time data pipelines with data processing frameworks in GCP cloud platform
• Use an analytical, data-driven approach to drive a deep understanding of fast changing business.
• Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management.
• Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution

Required Skills

• Bachelor’s degree in Computer Science, Computer Engineering or relevant field
• At least 5 - 10 years’ experience in a data engineering role
• Expertise as a software engineering using Scala/Java/Python
• Experience in Advanced SQL skillset - preference on using BigQuery
• Good knowledge on Google Managed Services as Cloud Storage, BigQuery, Dataflow, Dataproc, and Data Fusion
• Experience using workflow management
• Good understand of GCP Architecture batch and streaming
• Strong knowledge of data technologies and data modeling
• Expertise on building modern, cloud-native data pipelines and operations, with an ELT philosophy
• Experience with Data Migration / Data Warehouse
• Intuitive thinking of how to organize, normalize, and store complex data, enabling both ETL and end users
• Passion for mapping and designing ingestion and transformation of data from multiple sources, creating a cohesive data asset
• Good understanding of developer tools, CICD etc
• Excellent communication, empathetic with end users and internal customers.

Nice-to-have

• Google Cloud Data Engineer Certification
• Experience using Big Data echo system Hadoop, Hive, HDFS, Hbase
• Experience with Agile methodologies and DevOps principles

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

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