Description

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

Responsibilities

• Build efficient, cost-optimized, and high-performance data pipelines.
• Develop complex SQL procedures and database objects to support business processes.
• Manage data loading and unloading processes 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 enterprise-scale ETL environments.
• Deep expertise in Snowflake DB, including Streams, Tasks, and Time Travel.
• Strong proficiency in writing advanced SQL procedures.
• Experience handling diverse data formats including CSV, JSON, and VARIANT.
• Hands-on experience with code versioning tools such as Git, Mercurial, or SVN.
• Knowledge of SDLC, testing, and CI/CD workflows using Jenkins, BB, and JIRA.
• Proven ability to build and maintain data engineering pipelines.

Preferred Skills

• Experience optimizing Snowflake performance and cost-efficiency.

Key Skills

Education

Any Graduate