Description

You will build and maintain data processing pipelines within a financial services environment.

This role is hybrid.

Responsibilities

• Develop and optimize ETL processes using PySpark for large-scale data processing.
• Implement data workflows utilizing Azure Data Factory and Azure Databricks.
• Manage data integration between SQL and NoSQL database systems.
• Apply data warehousing concepts to support analytics and big data requirements.

Required Skills

• 14+ years of experience in PySpark development.
• Extensive experience with Azure Data Factory and Azure Databricks.
• Background working in banking, investment banking, or financial services.
• Strong command of SQL.
• Experience working with NoSQL databases.
• Knowledge of Azure services related to big data and analytics.
• Understanding of data warehousing concepts and tools.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate