Description

You will design and implement data storage and processing solutions using the Snowflake data platform.

Responsibilities

• Design and implement data storage and processing solutions within Snowflake.
• Manage data migration activities and cloud-based data warehousing modeling.
• Develop and optimize complex SQL queries and PL/SQL procedures.
• Build ETL pipelines using PySpark and Python scripting.
• Automate processes using Unix and PL/SQL scripting.

Required Skills

• 8+ years of experience in data engineering or data science roles.
• Deep expertise in Snowflake architecture, including virtual warehouses, storage layers, and caching.
• Proficiency in Python scripting and PySpark ETL processes.
• Advanced SQL and PL/SQL development skills.
• Experience with Unix environments and scripting for automation.
• Working knowledge of the AWS cloud platform.
• Experience using git-based source control.

Preferred Skills

• Degree in any graduate field.

Key Skills

Education

Any Graduate