Description

You will build and optimize data pipeline architectures and data flow systems to support cross-functional teams.

Responsibilities

• Expand and optimize data pipeline architecture and data collection processes.
• Design efficient, well-structured data schemas within Snowflake.
• Build and maintain data integration and transformation workflows.
• Write and maintain scripts for data movement and cloud-based processing.
• Troubleshoot data-related issues to ensure quality and consistency across the Snowflake ecosystem.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in SQL, including crafting complex queries and stored procedures.
• Advanced experience with Snowflake cloud data warehousing and administration.
• Strong Python programming skills for data processing and manipulation.
• Expertise in ETL processes and methodologies.
• Hands-on experience with Snowpark for native data processing.
• Solid understanding of data modelling.
• Any Graduate degree.

Preferred Skills

• Experience with DBT (Data Build Tool) for transformation and modeling.
• API integration experience using AWS Lambda.
• Familiarity with Git/GitHub and AWS S3 integration.

Key Skills

Education

Any Graduate