Description

You will bridge modern data engineering practices with AI/ML capabilities to build pipelines and enable advanced analytics.

Responsibilities

• Build and maintain data pipelines supporting AI/ML workflows, including ingestion, feature engineering, and monitoring.
• Collaborate with AI engineers and data scientists to prepare datasets for model training and inference.
• Implement AI-driven analytics and integrate AI services like Azure Cognitive Services or OpenAI into BI platforms.
• Develop Power BI dashboards and semantic layers to deliver interactive, high-performing reports.
• Partner with stakeholders to ensure data solutions meet technical and business requirements.

Required Skills

• 5+ years of experience in data engineering or data analysis roles.
• Proficiency with Snowflake, including performance tuning, clustering, and query optimization.
• Hands-on experience with DBT and Azure (ADF, AI Services).
• Advanced SQL skills for data ingestion, transformation, and modeling.
• Expertise in Power BI, including DAX calculations and dashboard design.
• Strong understanding of relational schemas and dimensional modeling (Star/Snowflake schemas).
• Ability to integrate and operationalize AI/ML models within data pipelines.
• Python or R experience 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