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: