Description

Design and implement data architectures and pipelines within GCP and Snowflake. Own the full lifecycle of data engineering, from extraction to visualization.

Responsibilities

• Develop data models and schemas optimized for Snowflake reporting.
• Extract, cleanse, and transform data from diverse sources to ensure reporting readiness.
• Build and maintain ETL processes to support data warehousing and business intelligence needs.
• Perform data mining and analysis to drive specific reporting requirements.

Required Skills

• 8+ years of experience in data engineering roles.
• 3-5 years of deep, hands-on SQL experience.
• Strong proficiency in Python for data analysis.
• Experience with Snowflake for data warehousing and architecture.
• Proven ability in data architecture and schema design.
• Experience with data mining and cleansing techniques.
• Proficiency in Tableau for data visualization.
• Competency in Excel and PowerPoint for reporting and presentations.

Preferred Skills

• Experience with GCP environment integration.

Key Skills

Education

Not specified