Description

You will design and manage data pipelines within the Azure ecosystem for trading and investment banking environments.

Responsibilities

• Build and maintain data workflows using Azure Data Factory and Databricks.
• Develop data storage solutions utilizing ADLS Gen2.
• Write and optimize complex SQL queries and Python scripts for data processing.
• Integrate data engineering patterns within financial services frameworks.

Required Skills

• 12+ years of professional experience in data engineering.
• Expertise in Azure Data Factory (ADF).
• Proficiency with Databricks.
• Hands-on experience with Azure Data Lake Storage (ADLS Gen2).
• Advanced Python programming skills.
• Strong SQL Server and SQL development skills.
• Direct experience working in trading or investment banking sectors.
• Degree in any graduate field.

Key Skills

Education

Any Graduate