Azure Data Engineer: Bridge DS & Data Engineering

NTT DATA Europe & Latam is seeking an Azure Data Engineer to bridge Data Science and Data Engineering in a cloud-native setup. You will support big data projects, deliver data acquisition, transformations, cleansing, and loading into data lakes for analytics and ML models.

The ideal candidate has 5+ years in Azure and cloud architectures, strong SQL, Python, Java/Scala, and agile leadership. The role involves working across multiple Italian locations and collaborating with global teams.

Support customers in Big Data projects, partnering with analysts and architects to understand use cases and data needs.
Deliver data acquisition, transformations, cleansing, conversion, compression and loading into data lakes for analytics and ML models.

Experience in cloud native environments across at least one major public cloud (GCP/AWS/Azure) with a preference for 5+ years on Azure.
Strong knowledge of Big Data architectures, cloud and on-premises integration.
Hands-on Azure infrastructure and networking experience.
Proven ability to build proofs-of-concept addressing business needs using suitable data sources and technologies.
Experience migrating workloads from on-premise to cloud environments.
Experience monitoring distributed infrastructure with Azure tools or open source solutions.
Proficient in Java, Scala, Python and shell scripting; solid SQL skills.
Familiarity with Agile Methodology and Kanban; experience leading medium teams.
Experience with Azure ETL/ELT tools including Databricks, Azure Data Factory, and Azure Synapse.