Description

Build and optimize end-to-end data pipelines and AI/ML models within the Microsoft Fabric ecosystem to drive predictive insights and automation.

This role is on-site.

Responsibilities

• Build and optimize end-to-end data pipelines using Synapse, Data Factory, and OneLake.
• Develop and deploy AI/ML models integrated into the Fabric ecosystem.
• Monitor and fine-tune model performance for accuracy, efficiency, and interpretability.
• Enable real-time and batch analytics serving strategic and operational needs.
• Collaborate with data engineers and stakeholders to translate use cases into scalable solutions.

Required Skills

• 10+ years of IT experience.
• Proven experience with Microsoft Fabric, Azure Synapse, Azure ML, and OneLake.
• Strong programming skills in Python and/or R with hands-on ML model building.
• Solid grasp of data modeling concepts including Data Vault and star schema.
• Familiarity with data lakehouse architectures and modern data governance frameworks.
• Experience with CI/CD pipelines, version control, and MLOps tools.
• Proficiency in Synapse, Data Factory, Python, Azure ML, OneLake, CI/CD, MLOps, and R.

Preferred Skills

• Excellent problem-solving skills and a collaborative mindset.

Key Skills

Education

Any Gradute