Description

You will design, develop, and optimize complex data warehouse databases within Snowflake environments. You own the architecture and implementation of data models, ETL processes, and performance tuning across Azure and AWS.

Responsibilities

• Design and implement Snowflake data modeling and ETL processes using SQL and stored procedures.
• Configure resource monitors, RBAC controls, virtual warehouses, and query sizing for performance tuning.
• Manage data lifecycle features including zero-copy cloning and time travel.
• Troubleshoot and optimize complex data warehouse databases across Azure and AWS cloud platforms.
• Integrate emerging data technologies to solve technical and business problems.

Required Skills

• 15+ years of professional experience in data architecture or engineering.
• Expertise in Snowflake architecture and implementation.
• Advanced SQL scripting capabilities.
• Proficiency in Unix Shell Scripting.
• Experience with ETL and DWH concepts.
• Hands-on experience with Azure or AWS cloud platforms.
• Ability to implement stored procedures and technical standards.

Key Skills

Education

Any Graduate