GCP Data Engineer: Real-Time & Batch Pipelines

Ntt Data Italia; Alà dei Sardi; In loco; EUR 90.000 - 140.000; Tempo pieno

Descrizione del lavoro

NTT Data Italia is seeking a Data Architect to design, build, and operate scalable data processing systems across multiple Italian offices. You will emphasize security, compliance, reliability and portability while turning raw data into actionable insights.

The ideal candidate brings 5–10 years in data engineering, strong programming in Scala/Java/Python, and deep expertise in BigQuery and GCP cloud services. You will work with diverse teams to deliver modern data pipelines.

Competenze

• Bachelor’s degree in Computer Science, Computer Engineering or relevant field.
• 5–10 years of experience in a data engineering role.
• Strong programming with Scala/Java/Python.
• Advanced SQL skills, BigQuery preferred.
• Good knowledge of Google Managed Services (GCS, BigQuery, Dataflow, Dataproc, Data Fusion).
• Experience with workflow management and GCP architecture (batch and streaming).
• Ability to design modern, cloud-native data pipelines with ELT.
• Strong data modeling, data migration and DW experience.
• Excellent communication and stakeholder engagement.

Mansioni

• Build large-scale batch and real-time data pipelines on GCP.
• Apply data-driven approaches to understand business needs.
• Collaborate with partners to address data system requirements.
• Participate in project planning, milestones and resource tracking.

Conoscenze

Scala

Java

Python

SQL

BigQuery

GCP

Workflow management

Cloud storage

Dataflow

Dataproc

Data Fusion

Formazione

Bachelor’s degree in Computer Science/Engineering

Strumenti

BigQuery

Google Cloud Platform

Cloud Storage

Dataflow

Dataproc

Data Fusion

Descrizione del lavoro

NTT Data Italia is seeking a Data Architect to design, build, and operate scalable data processing systems across multiple Italian offices. You will emphasize security, compliance, reliability and portability while turning raw data into actionable insights.

The ideal candidate brings 5–10 years in data engineering, strong programming in Scala/Java/Python, and deep expertise in BigQuery and GCP cloud services. You will work with diverse teams to deliver modern data pipelines.