Azure Data Architect

NTT DATA; Torino; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

A leading tech consulting firm is seeking an Azure Data Architect to support customers in Big Data projects across various locations in Italy. You will work on data acquisition, transformation, and delivery for analytics and machine learning. The candidate should have substantial cloud experience, particularly in Azure, and the ability to collaborate effectively between Data Science and Data Engineering. The role offers a dynamic work environment fostering continuous improvement.

Competenze

• 5 years experience in Azure preferred.
• Proven experience in Java, Scala, Python, and shell scripting.
• Experience with Agile Methodology and Kanban.

Mansioni

• Support customers in Big Data projects.
• Deliver data acquisition and transformations.
• Be a bridge between Data Science and Data Engineering.

Conoscenze

Cloud native environment

Big Data Architectures

Azure infrastructure and networking

Proofs-of-concept

Workload migration

Monitoring distributed infrastructure

Java

Scala

Python

Shell scripting

SQL

Agile Methodology

Team leadership

Apache Spark

Databricks

Azure Data Factory

Azure Synapse

Formazione

Microsoft Certification: Azure Data Engineer Associate

Microsoft Certification: Azure Solutions Architect Expert

Strumenti

Grafana

Prometheus

Talend

Oracle Data Integrator

Informatica PowerCenter

PowerBI

Qlik

Tableau

Descrizione del lavoro

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Responsibilities

Your role as an Azure Data Architect in NTT Data 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 Azure Data Architect in NTT Data knows the challenges of a cloud native environment, is able to think outside the box finding innovative, yet simple, solutions to everyday 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, willing to have a KAIZEN approach, continuously improving technical skills and knowledge, you can be an Azure Data Engineer in NTT Data’s 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), 5 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 delivering proofs-of-concept 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 (e.g., Grafana, Prometheus).
• Proven experience in: Java, Scala, Python, and shell scripting.
• SQL language knowledge.
• Working experience with Agile Methodology and Kanban.
• Experience in leading medium teams.
• Working experience with: Apache Spark, Databricks, Azure Data Factory, Azure Synapse, and other Azure related ETL/ELT tools.
• Microsoft Certification: Azure Data Engineer Associate or Azure Solutions Architect Expert.
• Desired skills, experiences, and certifications:
• Other Big Data certifications, 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.).

Location: Roma, Milano, Torino, Bari, Cosenza, Bologna, Salerno, Treviso, Pisa, e Napoli.