Description

You will own the architecture and implementation of scalable data pipelines using Snowflake.

Responsibilities

• Architect and implement scalable data pipelines and solutions using Snowflake for data ingestion, transformation, and delivery.
• Establish and enforce Snowflake best practices for performance tuning, cost management, and security.
• Implement data quality and governance standards across the Snowflake ecosystem.
• Mentor data engineers and analysts on Snowflake design patterns, SQL optimization, and platform capabilities.
• Lead troubleshooting and performance optimization efforts across the data platform.

Required Skills

• 8+ years of experience in Data Engineering or a related technical field.
• 5+ years of hands-on experience with Snowflake Cloud Data Platform in enterprise environments.
• Solid understanding of cloud data architecture, preferably AWS (S3, Lambda, Glue) or Azure (Data Factory, Synapse).
• Complete understanding of Snowflake integration with AWS.
• Hands-on Python experience for data transformation and automation.
• Experience with ingestion frameworks using Python and AWS.
• Proficiency in Data Engineering principles.

Key Skills

Education

Bachelor's or Master's degrees