Description

Design, implement, and manage data pipelines and architectures within the Snowflake platform.

This role is hybrid.

Responsibilities

• Develop automated data pipelines and data stores, including designing, testing, debugging, and deploying.
• Design efficient data models tailored specifically to Snowflake architecture.
• Manage ETL processes to extract, transform, and load data from various sources into Snowflake.
• Tune Snowflake settings to balance system performance and operational costs.
• Troubleshoot platform issues and communicate data trends to stakeholders and executives.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Expertise in Snowflake, including semi-structured data handling, data sharing, and security.
• Hands-on experience with ETL processes and data migration.
• Proficiency with at least one major cloud provider: AWS, Azure, or Google Cloud Platform.
• Strong understanding of data structures and algorithmic analysis of raw data sets.
• Ability to work with cross-functional teams like data analysts and engineers.

Preferred Skills

• Bachelor's degree or equivalent experience (Any Graduate).

Key Skills

Education

Any Graduate