Google Cloud Data Engineer Certification

NTT DATA Corporation; Cagliari; In loco; EUR 45.000 - 75.000; Tempo pieno

Descrizione del lavoro

Un'importante azienda IT cerca un Data Architect esperto per trasformare i dati in informazioni strategiche. La figura sarà responsabile della progettazione e costruzione di sistemi di elaborazione dati su Google Cloud, favorendo un approccio analitico e collaborando con team e partner aziendali. I candidati ideali possiedono una laurea in informatica e una significativa esperienza in ingegneria dei dati, con conoscenze avanzate in SQL e delle architetture GCP.

Competenze

• Esperienza da 5 a 10 anni in un ruolo di ingegneria dei dati.
• Capacità di costruire pipeline di dati moderne e basate sul cloud.
• Eccellenti capacità comunicative e empatia verso gli utenti finali.

Mansioni

• Costruire pipeline di dati di grande scala utilizzando framework di elaborazione su GCP.
• Collaborare con il team per valutare le esigenze aziendali e gestire i requisiti dei sistemi di dati.
• Partecipare alla pianificazione del progetto identificando traguardi e attività.

Conoscenze

SQL

Scala

Java

Python

GCP architecture

Data modeling

Data migration

Formazione

Laurea in Informatica o Ingegneria Informatica

Strumenti

BigQuery

Google Cloud Storage

Dataflow

Hadoop

Hive

HDFS

HBase

Descrizione del lavoro

Responsibilities

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 focus on security, compliance, scalability, efficiency, reliability, fidelity, flexibility, and portability. The main mission of a Data Architect is to turn raw data into information, creating insights and business value.

• Build large-scale batch and real-time data pipelines using data processing frameworks on the GCP cloud platform.
• Apply an analytical, data-driven approach to understand rapidly changing business needs.
• Collaborate with the team to evaluate business needs and priorities, liaise with key business partners, and address team requirements related to data systems and management.
• Participate in project planning by identifying milestones, deliverables, resource requirements, and tracking activities and task execution.

Required Skills

• Bachelor’s degree in Computer Science, Computer Engineering, or a relevant field.
• At least 5-10 years of experience in a data engineering role.
• Expertise as a software engineer using Scala, Java, or Python.
• Advanced SQL skills, preferably with BigQuery.
• Good knowledge of Google Managed Services such as Cloud Storage, BigQuery, Dataflow, Dataproc, and Data Fusion.
• Experience with workflow management tools.
• Strong understanding of GCP architecture for batch and streaming data processing.
• Extensive knowledge of data technologies and data modeling.
• Experience in building modern, cloud-native data pipelines and operations following an ELT philosophy.
• Experience with data migration and data warehouse solutions.
• Ability to organize, normalize, and store complex data to enable both ETL processes and end-user access.
• Passion for designing ingestion and transformation processes from multiple data sources to create cohesive data assets.
• Good understanding of developer tools, CI/CD pipelines, etc.
• Excellent communication skills, empathetic towards end users and internal customers.

Nice-to-have:

• Experience with Big Data ecosystem tools such as Hadoop, Hive, HDFS, HBase.
• Experience with Agile methodologies and DevOps principles.

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