GCP Data Architect: Build Scalable Pipelines & Insights

NTT DATA, Inc.; Puglia; In loco; EUR 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

NTT DATA, Inc. is seeking a Data Architect to design, build, and govern data processing systems in a global context.

You will create scalable, secure pipelines on Google Cloud, turning raw data into actionable insights and supporting data-driven decision making across the business. You will collaborate with partners to align data solutions with priorities and contribute to planning and delivery of data initiatives.

Competenze

• Bachelor in Computer Science or related field.
• 5-10 years of data engineering experience.
• Proficiency in Scala/Java/Python.
• Advanced SQL skills with BigQuery.
• Knowledge of Google Cloud services: Cloud Storage, BigQuery, Dataflow, Dataproc, Data Fusion.
• Experience with workflow management.
• Understanding of GCP batch and streaming architectures.
• Strong data modeling and ELT pipelines.
• Data migration and Data Warehouse experience.
• Familiarity with developer tools and CI/CD.
• Excellent communication and user-focused approach.

Mansioni

• Build large-scale batch and real-time data pipelines in GCP.
• Apply data-driven analysis to understand business needs.
• Collaborate with stakeholders to address data systems requirements.
• Participate in project planning, milestones, and resource estimation.
• Track activities and ensure task execution.

Conoscenze

Data architecture

GCP data pipelines

BigQuery

Scala/Java/Python

Advanced SQL

Data modeling

ELT pipelines

Communication

CI/CD

Formazione

Bachelor in Computer Science or related field

Strumenti

BigQuery

Dataflow

Dataproc

Data Fusion

Cloud Storage

CI/CD tooling

Descrizione del lavoro

NTT DATA, Inc. is seeking a Data Architect to design, build, and govern data processing systems in a global context.

You will create scalable, secure pipelines on Google Cloud, turning raw data into actionable insights and supporting data-driven decision making across the business. You will collaborate with partners to align data solutions with priorities and contribute to planning and delivery of data initiatives.