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STAFIDE

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Azure Data Engineer (ID:3995)

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Description

As an Azure Data Engineer, you will:
  • Design, develop, and maintain robust data pipelines using Databricks, PySpark, Azure Data Factory, and Python.
  • Implement scalable data solutions with a strong focus on data governance, data quality, and data lineage.
  • Develop and optimize data processing workflows to support reliable and high-quality data delivery.
  • Work with cloud-based data engineering technologies to build and maintain enterprise-grade data solutions.
What You Bring to the Table:
  • 10+ years of experience in Data Engineering.
  • Strong hands-on experience with Databricks.
  • Strong experience with PySpark.
  • Experience with Azure Data Factory (ADF).
  • Strong Python scripting skills.
  • Experience implementing data governance, data quality, and data lineage.
  • Proven experience designing and maintaining robust data pipelines.
You should possess the ability to:
  • Build scalable and reliable data pipelines.
  • Apply data governance and data quality principles across data solutions.
  • Implement effective data lineage practices.
  • Develop efficient data processing solutions using PySpark and Python.
  • Work effectively with Databricks and Azure Data Factory.
  • Troubleshoot and optimize data pipelines and processing workflows.
What We Bring to the Table:
  • Opportunity to work on large-scale data engineering solutions.
  • Exposure to modern data technologies including Databricks, PySpark, Azure Data Factory, and Python.
  • Opportunity to contribute to data governance, data quality, and data lineage initiatives.
  • A professional environment focused on building robust and scalable data solutions.
Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Giftson Paul Davidson
Phone: +31 20 369 0609 ; Extn : 151
E-mail: giftson.p@stafide.nl
LinkedIn:

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