Description

You will manage and analyze financial data using Snowflake and cloud-based warehousing architectures.

Responsibilities

• Leverage Snowflake to manage large-scale financial datasets.
• Develop and maintain data pipelines using Python and PySpark.
• Implement data warehousing and data modeling practices.
• Execute complex data extraction and transformation processes.

Required Skills

• 5+ years of experience in data engineering roles.
• Expertise in SQL and Snowflake.
• Hands-on experience with Python and PySpark.
• Proficiency with SSIS and Extract processes.
• Experience with Data Modeling and Data Warehousing.
• Working knowledge of Databases and Teradata.
• Background in financial data environments.
• Any Graduate degree.

Key Skills

Education

Any Graduate