Azure Data Engineer

NTT DATA Europe & Latam; Roma; On-site; EUR 40,000 - 70,000; Full time

Job summary

NTT DATA Europe & Latam is seeking an Azure Data Engineer to support customers in Big Data projects. You will be the bridge between Data Science and Data Engineering, working with business analysts and solution architects to understand use cases and deliver data solutions.

The ideal candidate will have extensive experience with Azure, Big Data architectures, and related tools. The role allows for contributing to innovative projects in a culturally rich environment.

Qualifications

• 5 years experience on Azure preferred.
• Experience in building and delivering proofs-of-concept.
• Working experience in migrating workloads from on-premise to cloud environment.

Responsibilities

• Support customers in Big Data projects.
• Work with business analysts and solution architects.
• Deliver data acquisition, transformations, and improvement.

Skills

Cloud native environment experience

Experience with Azure

Big Data Architectures

Data transformation and loading

Java

Scala

Python

SQL

Agile Methodology

Apache Spark

Azure Data Factory

Azure Synapse

Education

Microsoft Certification: Azure Data Engineer Associate or Azure Solutions Architect Expert

Tools

Grafana

Prometheus

Talend

Oracle Data Integrator

Informatica PowerCenter

PowerBI

Qlik

Tableau

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