Fabric Data Engineer & Developer

Responsibilities

• Build & Maintain Data Pipelines
• Handle data ingestion, transformation, and building ETL from SQL, OneLake or Lakehouses
• Optimize pipelines for performance, reliability, and data integrity
• Create and manage lakehouses, Warehouses, and Real-Time analytics
• Build and optimize semantic models for PowerBI or IBM analytics
• Manage databases, tables, schemas, and datasets in OneLake or SQL
• Create and manage SQL
• Design efficient data models for analytics and reporting
• Perform unit testing, validation, and quality checks for data pipelines and ETL
• Develop applications in Azure DevOps, Azure functions and App services
• Administration and Reporting
• Provision and manage Fabric resources
• Oversee governance, security, and access control
• Monitor system performance
• Feed and Build Power BI reports, datasets
• End-User education on Power BI and Data warehouse

Qualifications

• Understanding and working knowledge of Fabric workloads: Warehouse, Data Engineering, Power BI
• Strong SQL skills with knowledge of data loading and ETL processes
• Strong SQL Skills with reporting, event triggers, and stored procedures
• Development skills in python for automation and data manipulation
• Familiarity with Azure services (Synapse, Databricks), Azure Functions, and App services
• Experience utilizing ETL programs, automations, and workflows
• Strong problem-solving skills and attention to detail
• Ability to drive change and influence stakeholders at various levels within the organization