Description

Key Skills: Azure ADF, Azure Databricks, Python

Roles and Responsibilities:

• Design and develop scalable data pipelines using Azure Data Factory and Azure Databricks.
• Build data transformation and processing workflows for structured and semi-structured datasets.
• Implement data integration solutions across cloud and enterprise data sources.
• Develop reusable engineering components and maintain reliable production data workflows.
• Investigate data quality, pipeline reliability, and processing issues, and implement sustainable fixes.

Skills Required:

• 5 - 12 years of relevant experience in data engineering, including hands-on work with Azure data services.
• Hands-on experience developing data engineering solutions with Azure Databricks.
• Strong experience building and managing orchestration pipelines using Azure Data Factory.
• Ability to design scalable data processing and integration solutions on Microsoft Azure.
• Experience with data transformation, pipeline validation, production support, and enterprise data platforms.

Good to Have:

• Python programming experience for data processing and automation.

Education:  Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline

Key Skills

Education

Any Graduate