Azure Data Engineer

Sabenza IT Recruitment

Midrand

On-site

ZAR 600,000 - 900,000

Full time

14 days+

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Job summary

Sabenza IT Recruitment is seeking an Azure Data Engineer for a Midrand/Menlyn location. The role focuses on designing and implementing scalable data pipelines in Azure and cloud environments, driving data engineering best practices.

The candidate should have a university degree in a data-related field and hands-on experience with Azure data tools, Python, Spark, SQL, and Kusto to deliver data warehouse solutions.

Qualifications

  • University degree in Computer Science, Data Engineering or a comparable field of study.
  • Experience in architecting and implementing scalable data pipelines in cloud environments, preferably Azure.
  • Programming skills in data related programming languages and frameworks, such as Python, Spark, SQL, Kusto.
  • Experience with Azure Data Solutions (e.g. Azure Data Factory, Azure Data Explorer, Azure Databricks).
  • Profound technical understanding for Data Engineering and Data Warehouse Design.

Skills

Azure
Data engineering
Python
Spark
SQL
Kusto

Education

University degree in Computer Science, Data Engineering or a comparable field

Tools

Azure Data Factory
Azure Data Explorer
Azure Databricks

Job description

Azure Data Engineer

Are you a skilled Azure Data Engineer with a passion for innovation and cutting-edge technology? Our client is seeking a talented Azure Data Engineer to join their dynamic team at their Midrand/Menlyn location. As a global leader in the automotive industry, they are committed to shaping the future of mobility through innovative solutions and groundbreaking technologies.

Qualifications

  • University degree in Computer Science, Data Engineering or a comparable field of study with a focus on data intensive applications.
  • Experience in architecting and implementing scalable data pipelines in cloud environments, preferably Azure.
  • Programming skills in data related programming languages and frameworks, such as Python, Spark, SQL, Kusto.
  • Experience with Azure Data Solutions (e. g. Azure Data Factory, Azure Data Explorer, Azure Databricks).
  • Profound technical understanding for Data Engineering and Data Warehouse Design.

If you fit the above criteria, do not waste time; apply now!

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