Description

You will build and maintain data pipelines within the Azure environment.

Responsibilities

• Build and maintain data pipelines using Azure Data Factory (ADF).
• Manage data storage and organization within Azure Data Lake Storage (ADLS).
• Develop and optimize SQL queries for data transformation and reporting.
• Use Jupyter notebooks for data validation, analysis, and documentation.
• Ensure data quality, security, and compliance across all workflows.

Required Skills

• 10+ years of hands-on experience as an Azure Data Engineer.
• Proficiency in Python for Jupyter-based workflows.
• Expertise with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS).
• Strong skills in SQL for data transformation.
• Deep understanding of ETL/ELT processes and data governance.
• Familiarity with the broader Azure ecosystem and associated best practices.

Key Skills

Education

Any Gradute