Description

You will build and maintain data infrastructure to support AI/ML workflows.

Responsibilities

• Design, optimize, and maintain Snowflake schemas, tables, views, and stored procedures.
• Build and operate ETL/ELT pipelines connecting Snowflake, DataRobot, and other AI platforms.
• Implement data validation, monitoring, and automated remediation workflows for pipelines.
• Define and maintain automated tests for data pipelines and scoring flows.
• Design, build, and operate scalable feature stores for AI/ML models.

Required Skills

• 12+ years of experience in data engineering or related field.
• Expert proficiency in SQL and Python.
• Experience with Snowflake for database design and management.
• Hands-on experience with ETL and ELT processes.
• Familiarity with DataRobot and AI platform integrations.
• Demonstrated ability in Schema Design and Data Quality Assurance (QA).
• Experience working with MLOps practices.
• Experience curating and transforming data from source systems.

Key Skills

Education

Any Gradute