GCP Data Engineer/Data Architect (Turbigo)

GCP Data Engineer/Data Architect (Turbigo)

01 ago
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Turbigo

01 ago

Altro

Turbigo

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

Your Contribution In This Role

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

The ideal profile

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 understanding 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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