Description

You will build and optimize data pipelines to support AI/ML workflows and predictive analytics.

This role is on-site.

Responsibilities

• Collaborate with data modelers to prepare and optimize datasets for AI model training and inference.
• Design and implement data pipelines for feature engineering and model monitoring.
• Integrate AI-powered analytics and predictive models into Power BI.
• Evaluate and implement AI services to enhance data products and user experiences.

Required Skills

• 5+ years of experience working with medium to complex data structures in a corporate environment.
• Proficiency in SQL and DAX for data transformation and logic implementation.
• Hands-on experience with Snowflake for data warehousing, query tuning, and clustering.
• Expertise in DBT for developing and optimizing models and data testing.
• Experience building EL processes using Azure Data Factory (ADF).
• Advanced data modeling skills, including star schema, snowflake schema, normalization, and denormalization.
• Proven ability to create interactive visualizations and maintain semantic models in Power BI.
• Experience integrating AI/ML models into data pipelines and analytics platforms.

Preferred Skills

• Familiarity with Python or R for AI/ML tasks.
• Relevant certifications such as PL-300, DP-203, SnowPro, or Azure AI Engineer Associate.

Key Skills

Education

Bachelor's degree