Description

You will design, build, and optimize data pipeline architectures to support cross-functional teams.

Responsibilities

• Design efficient, well-structured data schemas and models within the Snowflake platform.
• Build and maintain ETL processes and data integration workflows for consistent data delivery.
• Optimize complex SQL queries and stored procedures for data transformation and aggregation.
• Develop scripts for data movement using cloud integration techniques.
• Troubleshoot data-related issues within the Snowflake ecosystem to maintain data quality.

Required Skills

• 5-7 years of experience in data engineering roles.
• Proficiency in SQL for crafting complex queries and stored procedures.
• Advanced experience with Snowflake cloud data warehousing, including administration and data loading.
• Strong Python skills for data processing, manipulation, and analysis.
• Hands-on experience with Snowpark for native data processing.
• Expertise in Data Modelling and ETL methodologies.
• Experience with AWS S3 integration for data storage and retrieval.

Preferred Skills

• Experience with DBT (Data Build Tool) for modeling and transformation.
• API integration experience, specifically using AWS Lambda for data workflows.

Key Skills

Education

Any Graduate