GCP Data Engineer/Data Architect

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7d6nr4

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.

Per il seguente ruolo potrebbero essere richieste diverse soft skill ed esperienze. La preghiamo di consultare attentamente la panoramica riportata di seguito.
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 - 10years’ 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 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 E

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7d6nr4