Azure Data Engineer

Overview

Azure Data Engineer at NTT DATA helps bridge Data Science and Data Engineering in a hybrid setting across Italy. You support Big Data initiatives, collaborating with analysts and architects to define use cases and data needs, and you deliver data ingestion, transformation, cleansing, and loading into data lakes for analytics and ML. The role emphasizes cloud-native solutions, continuous improvement, and practical problem-solving in a cross-cultural environment, offering meaningful impact and growth.

Retribuzione / Benefits hybrid/flexible work

global company with diverse teams

opportunity to develop new skills and expand network

Responsabilità Support customers in Big Data projects in collaboration with business analysts and solution architects

Deliver data acquisition, transformations, cleansing, conversion, compression and loading into data lakes for analytics/ML

Understand use cases and data needs to define outcomes and guide data engineering work

Requisiti fondamentali Cloud-native experience in at least one major public cloud (GCP/AWS/Azure)

5 years experience on Azure preferred

Experience with Big Data architectures (cloud and on-prem)

Azure infrastructure and networking experience

Proven ability to deliver PoCs addressing business needs

Experience migrating workloads from on-premises to cloud

Monitoring distributed infrastructure (Azure tools or Grafana/Prometheus)

Proficiency in Java, Scala, Python, and shell scripting

SQL knowledge

Experience with Agile/Kanban

Experience leading medium-sized teams

Experience with Apache Spark, Databricks, Azure Data Factory, Azure Synapse; Azure certifications (Data Engineer Associate or Solutions Architect Expert)

Cross-functional collaboration

Leadership and team coordination

Problem-solving and pragmatic thinking

Apache Spark

Databricks

Azure Data Factory