Senior GCP Data Engineer - Real-time ELT Pipelines

NTT DATA BUSINESS SOLUTIONS; Bari; In loco; EUR 70.000 - 90.000; Tempo pieno

Descrizione del lavoro

NTT DATA BUSINESS SOLUTIONS is seeking a Data Architect to design, build, and operationalize data processing systems with emphasis on security, scalability, reliability, and portability. The role focuses on turning raw data into actionable insights and business value.

The candidate will lead large-scale data pipelines, collaborate with business partners, and ensure compliant data management across cloud-native architectures using ELT principles.

Competenze

• Bachelor's degree in Computer Science, Computer Engineering or relevant field.
• 5–10 years experience in a data engineering role.
• Proficiency in Scala, Java and Python.
• Advanced SQL skills with preference for BigQuery.
• Experience with Google Cloud managed services: Cloud Storage, BigQuery, Dataflow, Dataproc, Data Fusion.
• Experience with workflow management tools.
• Strong understanding of GCP architecture for batch and streaming.
• Strong data technologies and data modeling knowledge.
• Experience with Data Migration/Data Warehouse and ELT concepts.
• Ability to map and design ingestion and transformation of data from multiple sources.
• Familiarity with CI/CD tools and end-to-end data pipelines.
• Excellent communication with end users and internal customers.

Mansioni

• Build large-scale batch and real-time data pipelines on the GCP cloud platform.
• Use a data-driven approach to understand fast-changing business needs.
• Collaborate with partners to address team data systems requirements.
• Participate in project planning, milestones, and resource planning; track progress and delivery.

Conoscenze

Scala

Java

Python

Advanced SQL

BigQuery

GCP

Data modeling

ELT

CI/CD

Communication

Formazione

Bachelor's degree in CS/Engineering

Strumenti

BigQuery

Dataflow

Dataproc

Data Fusion

Cloud Storage

Hadoop

Hive

Descrizione del lavoro

NTT DATA BUSINESS SOLUTIONS is seeking a Data Architect to design, build, and operationalize data processing systems with emphasis on security, scalability, reliability, and portability. The role focuses on turning raw data into actionable insights and business value.

The candidate will lead large-scale data pipelines, collaborate with business partners, and ensure compliant data management across cloud-native architectures using ELT principles.