Description

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

This role is remote.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures on Azure Cloud.
• Implement and manage Azure Data Lake solutions for storing and processing large data volumes.
• Develop and maintain ETL processes using Azure Data Factory.
• Write efficient and optimized SQL queries to extract, transform, and load data.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.

Required Skills

• 8-10+ years of Data Engineering experience.
• 2-3+ years focused on Azure Cloud services.
• 3-5+ years of experience working with Azure Data Lake.
• 3-5+ years of Python for data processing and automation.
• 2+ years of Databricks experience.
• 5+ years of SQL and prior experience with ETL processes such as SSIS.
• 1-2+ years of Azure Data Factory (ADF) experience.
• Familiarity with data governance and security best practices.
• Bachelor’s degree in Computer Science, Information Technology, or related field.

Preferred Skills

• Experience with large-scale data governance implementations.

Key Skills

Education

Any Graduate