Azure Data Engineer

Overview As an Azure Data Engineer at NTT Data you will help customers advance their Big Data initiatives in a cloud-native setting. You bridge Data Science and Data Engineering to deliver practical data solutions. You will work with analysts and solution architects to translate use cases into data pipelines, enabling analytics and machine learning. This role combines hands-on data engineering with a Kaizen mindset to continuously improve solutions and skills, in a culturally diverse environment. You will contribute to data acquisition, transformation, cleansing, and loading into data lakes for analytics readiness.

Responsabilità Support customers on Big Data projects and collaborate with analysts and solution architects

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

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

Experience building proofs-of-concept to address business needs

Experience migrating workloads from on-premises to cloud

Experience monitoring distributed infrastructure (Azure tools or open source e.g. Grafana, Prometheus)

Proven programming skills in Java, Scala, Python, and shell scripting

SQL knowledge

Agile Methodology and Kanban experience

Experience leading medium teams

Experience with Apache Spark, Databricks, Azure Data Factory, Azure Synapse and other Azure ETL/ELT tools

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

Nice to have: other Big Data certifications (Cloudera, Databricks)

Experience with non-Azure ETL/ELT tools (Talend, ODI, Informatica PowerCenter)

Experience with Data Visualization solutions (PowerBI, Qlik, Tableau)

Bridge between data science and data engineering

strong collaboration and communication

Kaizen mindset and continuous improvement

Java

Scala

Python