Description

You will design, build, and maintain scalable data pipelines and architectures on Azure Cloud.

This role is on-site.

Responsibilities

• Implement and manage Azure Data Lake solutions for large-scale data storage and processing.
• Develop and maintain ETL processes using Azure Data Factory (ADF).
• Write optimized SQL queries for data extraction, transformation, and loading.
• Monitor pipelines to ensure performance, reliability, and security compliance.

Required Skills

• 8-10+ years of Data Engineering experience.
• 2-3+ years focused on Azure Cloud services.
• 3-5+ years experience with Azure Data Lake.
• 3-5+ years of Python for data processing and automation.
• 2+ years of Databricks experience.
• 1-2+ years of Azure Data Factory (ADF) for ETL.
• 5+ years of SQL, including prior ETL experience such as SSIS.
• Familiarity with data governance and security best practices.

Preferred Skills

• Master’s degree in a related field.
• Experience with Azure Synapse Analytics or Azure Machine Learning.

Key Skills

Education

Any Graduate