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Cloud Data Architect

NTT

Bari

In loco

EUR 50.000 - 80.000

Tempo pieno

4 giorni fa
Candidati tra i primi

Descrizione del lavoro

A global technology company is seeking a Cloud Data Architect to support customers in Big Data projects. This role involves data acquisition, transformation, and loading into data lakes, requiring strong experience in cloud environments and data technologies. The ideal candidate will bridge Data Science and Data Engineering, possessing knowledge of major cloud platforms and Big Data architectures.

Competenze

  • Working experience in a cloud native environment in at least one of the 3 major public clouds.
  • Proven experience in cloud migration and workload optimization.
  • Knowledge of Big Data solutions and data visualization.

Mansioni

  • Support customers in Big Data projects through cloud data architecture.
  • Collaborate with business analysts and solution architects.
  • Deliver data acquisition, transformation, and loading into data lakes.

Conoscenze

Cloud native environment experience
Big Data Architectures knowledge
Azure infrastructure experience
Experience in proofs-of-concept
Migrating workloads to cloud
Monitoring distributed infrastructure
Java, Scala, Python experience
SQL knowledge
Agile Methodology experience
Experience with Azure Data tools

Formazione

Cloud Certification: Azure Data Engineer Associate

Strumenti

Grafana
Prometheus
Apache Spark
Databricks
Azure Data Factory
Azure Synapse

Descrizione del lavoro

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Your role as a Cloud Data Architect in NTT Data Gov & Tech will be supporting customers in Big Data projects, working in partnership with business analysts and solution architects to understand use cases, data needs, and outcome objectives. In this role, you will deliver data acquisition, transformations and improvement, cleansing, conversion, compression, and loading of data into data lakes in order to be consumed by analytics and machine learning models.

The Cloud Data Architect in NTT Data Gov & Tech knows the challenges of a cloud native environment,

Is able to think outside the box finding innovative, yet simple, solutions to every day issues, and share those solutions with the rest of his team.

We are looking for an engineer that can be the bridge between Data Science and Data Engineering, having a clear understanding of both worlds.

If you are a Data Scientist looking for more experience in preparing data, or a Data Engineer with interest also in Data Science, you can be a Cloud Data Architect in NTT Data Gov & Tech Business Intelligence Service Line, in an environment where Japanese and European cultural elements are intertwined

Required Skills

  • Working experience in a cloud native environment in at least one of the 3 major public clouds (GCP/AWS/Azure), 2 years experience on Azure is preferred
  • Experience and knowledge of Big Data Architectures, cloud and on premise
  • Azure infrastructure and networking working experience
  • Experience in building and deliver proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
  • Working experience in migrating workloads from on premise to cloud environment
  • Experience in monitoring distributed infrastructure, using Azure tools or open source ones (es: Grafana, Prometheus)
  • Proven experience in environment developed in: Java, Scala, Python, and shell scripting
  • SQL language knowledge
  • Working experience with Agile Methodology and Kanban
  • Working experience with: Apache Spark, Databricks, Azure Data Factory, Azure Synapse, and other Azure related ETL/ELT tools
  • Cloud Certifification: Azure Data Engineer Associate or Azure Solutions Architect Expert or equivalent in other Cloud Providers as AWS/Oracle/GCP
  • Desired skills, experiences and certifications:
  • Other Big Data certification, such as Cloudera, Databricks, etc. are welcome
  • Experience with non Azure ETL/ELT solutions (Talend, Oracle Data Integrator, Informatica PowerCenter, etc.)
  • Experience with Data Visualization solutions (PowerBI, Qlik, Tableau, etc.);

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