Description

You will own the data infrastructure powering AI/ML workflows, from ingestion to visualization.

This role is on-site.

Responsibilities

• Design and implement data pipelines supporting AI/ML workflows, including feature engineering and model monitoring.
• Integrate AI-powered analytics and predictive models into Power BI using DAX logic.
• Evaluate and implement Azure Cognitive Services, OpenAI, or custom ML models to enhance data products.
• Optimize Snowflake data warehousing through query tuning, clustering, and schema design.
• Collaborate with data modelers to prepare and optimize datasets for AI model training and inference.

Required Skills

• 12+ years of experience in data engineering or analytics roles.
• Proficiency in SQL, DBT (Data Build Tool), and Azure Data Factory (ADF).
• Hands-on experience with Snowflake, including optimization strategies and data warehousing concepts.
• Strong skills in Power BI and DAX for efficient data visualization and logic implementation.
• Experience integrating AI/ML models into data pipelines and analytics platforms.
• Hands-on experience in designing complex data models (star schema, snowflake schema).
• Proficiency in Python or R for AI/ML tasks.
• Experience with Azure cloud platforms for data storage, integration, and AI services.

Preferred Skills

• Relevant certifications: PL-300, DP-203, SnowPro Core/Advanced, or AI-102.
• Experience training and developing new AI-powered analytics functionality.

Key Skills

Education

Any Graduate