Azure Data Engineer: Bridge Data Science & Big Data

NTT America, Inc.; Torino; On-site; EUR 60,000 - 90,000; Full time

Job summary

NTT Data in Italy seeks an Azure Data Engineer to bridge Data Science and Data Engineering in a cloud-native setting. You will be the link between use cases, data needs, and outcomes, delivering data acquisition, transformations, cleansing, conversion, and loading into data lakes for analytics and ML.

The ideal profile includes 5+ years in a cloud-native environment (Azure preferred), Azure PoC delivery, and experience with Spark, Databricks, and Data Factory/Synapse in a mixed Azure stack.

Qualifications

• Cloud native experience in public clouds (GCP/AWS/Azure) and 5+ years on Azure preferred.
• Big Data architectures, cloud and on-premise understanding.
• Azure infrastructure and networking experience.
• Proven PoC delivery using data sources and techniques for business needs.
• Experience migrating workloads from on-prem to cloud.
• Monitoring distributed infra with Azure tools or open source (Grafana/Prometheus).

Responsibilities

• Support customers in Big Data projects with analysts and solution architects.
• Deliver data acquisition, transformations, cleansing, conversion and loading into data lakes.
• Enable analytics and machine learning by preparing data pipelines.

Skills

Azure

Data Engineer

Python

Java

Scala

SQL

Spark

Databricks

Azure Data Factory

Azure Synapse

AGILE

Education

Microsoft Certification: Azure Data Engineer Associate

Microsoft Certification: Azure Solutions Architect Expert

Tools

Talend

Oracle Data Integrator

Informatica PowerCenter

Job description

NTT Data in Italy seeks an Azure Data Engineer to bridge Data Science and Data Engineering in a cloud-native setting. You will be the link between use cases, data needs, and outcomes, delivering data acquisition, transformations, cleansing, conversion, and loading into data lakes for analytics and ML.

The ideal profile includes 5+ years in a cloud-native environment (Azure preferred), Azure PoC delivery, and experience with Spark, Databricks, and Data Factory/Synapse in a mixed Azure stack.