Description

Key Skills: Azure Data Factory (ADF), Azure Databricks, ETL, SQL Server, T-SQL, Data Engineering, Data Warehousing, Data Modeling, Azure, MySQL

Roles & Responsibilities:

• Develop and maintain ETL pipelines using Azure Data Factory and Databricks.
• Build and optimize data pipelines for efficient data processing.
• Perform data transformation, validation, and troubleshooting.
• Support data modeling and data warehousing initiatives.
• Optimize SQL Server queries and ensure high-performance data processing.
• Ensure data quality, reliability, and accuracy across data pipelines.
• Collaborate with cross-functional teams to deliver analytics-ready datasets.
• Monitor and improve the performance of end-to-end data workflows.

Experience Required:

• 6-12 years of experience in Data Engineering and ETL development.
• Hands-on experience with Azure Data Factory (ADF) and Azure Databricks.
• Strong knowledge of ETL design, development, and optimization.
• Expertise in SQL Server and T-SQL query optimization.
• Good understanding of data warehousing and data modeling concepts.
• Experience with MySQL is an added advantage.
• Strong analytical, problem-solving, and communication skills.

Education: Any Graduation

Key Skills

Education

Any Graduate