Description

You will build and optimize data pipelines and applications within the Azure ecosystem.

This role is on-site.

Responsibilities

• Develop and optimize PySpark-based ETL pipelines for large-scale data processing.
• Build, test, and maintain Python applications.
• Design and implement data solutions using Azure Data Lake, Azure Databricks, and Azure Data Factory.
• Implement data classification, policy enforcement, and metadata extraction within Purview.
• Troubleshoot Spark job performance bottlenecks to improve pipeline efficiency.

Required Skills

• 3+ years of experience in Python and PySpark for big data processing.
• Proven experience as a Python Developer or in a similar engineering role.
• Strong experience with Azure Data Services including Azure Data Lake and Azure Data Factory.
• Experience working with Azure Databricks.
• Ability to work within an agile environment.
• Degree in any graduate field.

Key Skills

Education

Any Gradute