Azure Data Engineer

NTT DATA Europe & Latam

Treviso

Híbrido

EUR 50 000 - 70 000

Tempo integral

14 dias+
Gerador de candidaturas

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Resumo da oferta

A global IT services provider is seeking an Azure Data Engineer to support customers in Big Data projects. The role involves working with business analysts to understand data needs and delivering data transformations. Ideal candidates will have strong experience with Azure and Big Data Architectures, as well as proficiency in Java, Python, and SQL. This position is based in various locations including Treviso.

Responsabilidades

  • Support customers in Big Data projects.
  • Work in partnership with business analysts and solution architects.
  • Deliver data acquisition, transformations, and improvement.
  • Cleanse, convert, compress, and load data into data lakes.

Conhecimentos

Cloud native environment (GCP/AWS/Azure)
Azure experience (5 years preferred)
Big Data Architectures knowledge
Azure infrastructure and networking
Java
Scala
Python
Shell scripting
SQL knowledge
Agile Methodology
Apache Spark
Databricks
Azure Data Factory
Azure Synapse
Medium team leadership
Microsoft Certification (Azure Data Engineer Associate)

Descrição da oferta de emprego

Join to apply for the Azure Data Engineer role at NTT DATA Europe & Latam

NTT DATA, Trusted Global Innovator, is one of the main players worldwide in the IT services sector. With over 140,000 professionals in more than 50 countries, we are leaders and accelerators of digital transformation, offering our clients tailored technological and innovative solutions.

The driving force behind NTT DATA is its people, each with their uniqueness, talent, and attitude. We have built a Smile Working Company where care, listening to people, their well-being, and development of skills are our priority.

We are looking for an Azure Data Engineer to support 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 to be consumed by analytics and machine learning models.

The ideal candidate will have experience working in a cloud native environment, be able to think outside the box, and find innovative solutions to everyday issues. We are looking for an engineer who can bridge the gap between Data Science and Data Engineering, with a clear understanding of both worlds.

Responsibilities
  • Support customers in Big Data projects
  • Work in partnership with business analysts and solution architects
  • Deliver data acquisition, transformations, and improvement
  • Cleanse, convert, compress, and load data into data lakes
Required Skills
  • Working experience in a cloud native environment (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
  • 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 certification, such as Cloudera, Databricks, etc.
  • Experience with non Azure ETL/ELT solutions (Talend, Oracle Data Integrator, Informatica PowerCenter, etc.)
  • Experience with Data Visualization solutions (PowerBI, Qlik, Tableau, etc.)

NTT DATA recruiters will never ask job seekers and candidates for payment or banking information during the recruitment process. Please remain vigilant of third parties that may try to impersonate NTT DATA recruiters.

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

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