Description

You will architect and implement scalable data solutions across the organization.

Responsibilities

• Architect and implement scalable workspace, data lake, dimensional models, data pipelines, data warehouses, and ETL/ELT processes using Microsoft Fabric.
• Build end-to-end data solutions leveraging Fabric assets, Power BI, and related services.
• Ensure data quality, security, and compliance by implementing validation, logging, monitoring, and role-based access controls.
• Perform root cause analysis on data and processes to answer business questions and identify improvements.
• Integrate AI/ML models and GenAI capabilities into data products and workflows.

Required Skills

• 8+ years of experience in data engineering roles, preferably in a global enterprise environment.
• Strong hands-on experience with Microsoft Fabric, Data Lake, Data Warehouse, Data Pipelines, and the broader Microsoft ecosystem.
• Expert proficiency in SQL, Python, and PySpark for data processing.
• Demonstrated experience implementing ETL solutions integrating data into Azure Data Lake and Data Warehouse.
• Expertise in Power BI semantic models and datasets for dashboard and report building.
• Strong DAX and Power Query skills.
• Good knowledge of EDW and data modeling/normalization principles.
• Familiarity with software quality assurance best practices and tools like Jira and GIT.

Key Skills

Education

Any Gradute