Azure Data Engineer: Bridge Data Science & Analytics

NTT America, Inc.

Gent

Hybride

EUR 60 000 - 95 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

NTT Data is seeking an Azure Data Engineer to bridge Data Science and Data Engineering in a cloud native environment. You will work with analysts and architects to understand use cases and deliver data pipelines for analytics and machine learning.

You will leverage Azure Data Factory, Synapse, Databricks, Spark, and other Azure tools, while applying a KAIZEN mindset to continuously improve data workflows and infrastructure across diverse client projects.

Qualifications

  • 5+ years in cloud native environments (GCP/AWS/Azure)
  • Experience with Big Data architectures, cloud and on-premise
  • Azure infrastructure and networking experience
  • Proven ability to deliver proofs-of-concept for business needs
  • Experience migrating workloads to the cloud
  • Experience monitoring distributed infra with Azure tools or open source
  • Strong coding in Java, Scala, Python, and shell scripting
  • SQL proficiency
  • Experience with Agile/Kanban

Responsabilités

  • Support customers in Big Data projects, partner with analysts and solution architects
  • Deliver data acquisition, transformations, cleansing, conversion, and loading into data lakes
  • Enable analytics and machine learning models with prepared data

Connaissances

Azure
Big Data architectures
Azure Data Factory
Azure Synapse
Databricks
Apache Spark
Python
Java
Scala
SQL
Shell scripting
Agile methodology
Kanban
Proof-of-concept

Outils

Grafana
Prometheus

Description du poste

NTT Data is seeking an Azure Data Engineer to bridge Data Science and Data Engineering in a cloud native environment. You will work with analysts and architects to understand use cases and deliver data pipelines for analytics and machine learning.

You will leverage Azure Data Factory, Synapse, Databricks, Spark, and other Azure tools, while applying a KAIZEN mindset to continuously improve data workflows and infrastructure across diverse client projects.

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