Azure Data Engineer (ID:3995)

Azure Data Engineer (ID:3995)

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.