Cloud Data Architect

NTT; Roma; In loco; EUR 50.000 - 75.000; Tempo pieno

Descrizione del lavoro

A leading company in the tech sector is seeking a Cloud Data Architect to support clients in Big Data projects. The role involves transforming and delivering data solutions for analytics and machine learning. Ideal candidates will possess experience in cloud environments, particularly Azure, and be able to innovate complex solutions. This role emphasizes collaboration between Data Science and Data Engineering, offering a challenging and rewarding opportunity in a culturally diverse environment.

Competenze

• Working experience in at least one of the 3 major public clouds.
• Experience building proofs-of-concept addressing business needs.
• Proven environment developed in Java, Scala, Python, and shell scripting.

Mansioni

• Supporting customers in Big Data projects.
• Delivering data acquisition and transformations.
• Bridging Data Science and Data Engineering.

Conoscenze

Cloud native environment experience

Big Data Architectures knowledge

Azure infrastructure experience

Data migration experience

Monitoring distributed infrastructure

Java

Scala

Python

SQL language

Agile Methodology

Apache Spark

Data Visualization solutions

Formazione

Cloud Certification (e.g., Azure Data Engineer Associate)

Other Big Data certifications (e.g., Cloudera, Databricks)

Strumenti

Azure Data Factory

Azure Synapse

Grafana

Prometheus

Talend

Oracle Data Integrator

PowerBI

Qlik

Tableau

Descrizione del lavoro

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.);