Azure Data Engineer

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: https://www.linkedin.com/in/giftsonpauldavidson/