GCP Data Engineer/Data Architect

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79x3mj

About the Role

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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

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- 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

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- 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 xysqume 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

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- 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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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79x3mj