Description

You will build and maintain data pipelines that support AI/ML workflows, including ingestion, feature engineering, and monitoring.

This role is on-site.

Responsibilities

• Build and maintain data pipelines for AI/ML workflows, covering ingestion, feature engineering, and monitoring.
• Collaborate with AI engineers and data scientists to prepare datasets for model training and inference.
• Implement AI-driven analytics into BI platforms, primarily Power BI.
• Integrate AI services like Azure Cognitive Services or OpenAI models into enterprise data products.
• Partner with stakeholders to ensure data solutions meet technical and business requirements.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Proficiency in SQL and DAX.
• Hands-on experience with Snowflake, including performance tuning and query optimization.
• Expertise in DBT and Azure Data Factory (ADF).
• Experience with Azure AI Services.
• Strong data modeling skills using relational schemas and dimensional modeling (Star/Snowflake schemas).
• Advanced Power BI skills for creating interactive reports.
• Experience with Python or R for ML tasks.

Preferred Skills

• SnowPro Core or Advanced certifications.
• Microsoft certifications: PL-300, DP-203, or Azure AI Engineer Associate.

Key Skills

Education

Any Gradute