Description

You will design, build, and optimize data models and pipelines in Snowflake to support industrial manufacturing analytics.

This role is on-site.

Responsibilities

• Design and implement scalable Snowflake data models for complex manufacturing analytics and reporting.
• Build and optimize Snowpipe ingestion pipelines and schedule Snowflake tasks for reliable data orchestration.
• Develop modular Python components integrating with Snowflake Cortex for predictive modeling and optimization.
• Configure Snowflake streams for change data capture and implement rigorous data quality checks in Python.
• Optimize query performance and warehouse configurations to balance cost efficiency with fast response times.

Required Skills

• 6+ years of hands-on experience in Python development focused on data engineering and automation.
• Extensive experience with Snowflake, including SQL, data modeling, ETL, and cloud data platforms.
• Proven ability in performance optimization, data modeling, and managing complex data workflows.

Preferred Skills

• Experience with Snowflake Cortex, Snowpipe, dimensional modeling, and automated testing frameworks.
• Knowledge of industrial manufacturing analytics, shop floor systems, and production planning.

Key Skills

Education

Any Graduate