GCP Data Engineer/Data Architect

Job Summary

A Data Architect is an IT expert who enables datadriven 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.

Responsibilities

• 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

Requirements

• Bachelors degree in Computer Science, Computer Engineering or relevant field
• At least 5 - 10 yearsexperience 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 understand 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