Description

You will design and implement scalable data solutions using the Snowflake architecture.

This role is hybrid.

Responsibilities

• Build efficient, cost-optimized data pipelines for enterprise-scale environments.
• Develop complex SQL procedures and database objects to support business processes.
• Manage data loading and unloading for CSV, JSON, and VARIANT formats.
• Create Proof of Concept projects to validate new data engineering approaches.
• Execute unit testing and debugging to ensure data integrity and pipeline reliability.

Required Skills

• 5+ years of experience in data warehousing, data architecture, or ETL environments.
• Deep expertise in Snowflake DB, including Streams, Tasks, and Time Travel.
• Strong proficiency in writing advanced SQL procedures.
• Hands-on experience handling diverse data formats (CSV, JSON, VARIANT).
• Experience with code versioning tools such as Git, Mercurial, or SVN.
• Knowledge of SDLC, testing, and CI/CD workflows using Jenkins, Bitbucket, and JIRA.

Preferred Skills

• Experience optimizing Snowflake performance and cost-efficiency.

Key Skills

Education

Any Graduate