Azure Data Engineer

NTT DATA Europe & Latam; Turbigo; On-site; EUR 45,000 - 70,000; Full time

Job summary

NTT DATA Europe & Latam is seeking an Azure Data Engineer to engage in Big Data projects, bridging Data Science and Engineering. The role requires at least 5 years of experience on Azure, proficiency in programming languages like Java and Python, and the ability to work in cloud environments.

Your contributions will include data transformations, monitoring, and supporting clients in utilizing data lakes for analytics. This position welcomes certification holders aiming for a dynamic work atmosphere influenced by both Japanese and European cultures.

Qualifications

• 5+ years of experience with Azure preferred.
• Experience in monitoring distributed infrastructure using Azure tools.
• Proven experience in Java, Scala, Python, and shell scripting.

Responsibilities

• Support customers in Big Data projects.
• Deliver data acquisition, transformations, and loading of data into data lakes.
• Collaborate with business analysts and solution architects.

Skills

Cloud native environment

Big Data Architectures

Azure infrastructure and networking

Java

Python

SQL

Agile Methodology

Apache Spark

Education

Microsoft Certification: Azure Data Engineer Associate

Microsoft Certification: Azure Solutions Architect Expert

Tools

Azure Data Factory

Databricks

PowerBI

Job description

The Azure Data Engineer in NTT Data 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, 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.

Your Contribution In This Role

Your role as an Azure Data Engineer 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 ideal profile

• 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 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: 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

Nice To Have

• 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.)

Location

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