Description

You will design, develop, and optimize scalable data pipelines and ETL workflows within a Snowflake environment.

This role is on-site.

Responsibilities

• Design and develop scalable data pipelines using Snowflake architecture.
• Build data transformation scripts and ETL workflows leveraging Snowpipe, Streams, Tasks, and UDFs.
• Write modular Python code for data ingestion, transformation, and automation.
• Write complex SQL queries to extract, manipulate, and analyze Snowflake data.
• Monitor and troubleshoot Snowflake performance, optimizing queries and workloads.

Required Skills

• Minimum 6 years of hands-on experience with Snowflake architecture, development, and optimization.
• Expertise in Snowflake components: Virtual Warehouses, Snowpipe, Streams, and Tasks.
• Strong Python programming skills for data engineering and automation.
• Advanced SQL skills for writing and optimizing complex queries.
• Understanding of cloud data architecture and integration patterns.
• Experience with version control systems such as Git.
• Bachelor's or Master's degree in Computer Science, Data Engineering, IT, or a related field.

Key Skills

Education

Any Graduate