Microsoft Fabric & Power BI

Job Description
Role: Data Engineer – Microsoft Fabric & Power BI

Location: Hyderabad (WFO)

Working hours: 04:30PM- 01:30AM

Immediate Joinee .

Key Responsibilities

• Design and develop Fabric Pipelines for automated ingestion from APIs, files into OneLake.
  
• Implement medallion architecture (Bronze → Silver → Gold) using Fabric Lakehouses and Warehouses, applying Delta Lake best practices, partitioning, and incremental load patterns.
  
• Please make sure candidate holds 4+ years of Data Bricks experience too.
  
• Build dimensional (star schema) models in the Gold layer aligned to Student, Finance, HR, Learning, and Advising domains.
  
• Develop and maintain the master orchestration framework, including dependency management, retry logic, error handling, and scheduled execution windows.
  
• Implement data quality checks, validation rules, and reconciliation logic across layers; support certification of enterprise KPIs.
  
• Configure Row-Level Security (RLS) and Object-Level Security (OLS) in collaboration with the BI and security teams.
  
• Integrate with Microsoft Purview for metadata capture, lineage, classification, and business glossary alignment.
  
• Support deployment pipelines across Dev → Test → Prod Fabric workspaces, including CI/CD via Git integration.
  
• Collaborate with NWTC technical data stewards during sprint ceremonies, UAT, and hypercare.
  
• Produce technical documentation: source-to-target mappings, pipeline runbooks, and operational handover materials.
  

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  
• 5+ years of data engineering experience, with at least 2 years building on Microsoft Fabric, Azure Synapse, or Azure Data Factory.
  
• Hands-on expertise with OneLake, Lakehouse, Delta Lake, and Fabric Pipelines / Dataflows Gen2.
  
• Strong SQL and PySpark / Spark SQL skills for large-scale transformation workloads.
  
• Proven experience implementing medallion architecture and dimensional (Kimball-style) modeling.
  
• Working knowledge of Power BI semantic models, DirectLake/Import modes, and dataset refresh orchestration.
  
• Experience with source system integration patterns: REST APIs, OData, file-based ingestion, and CDC.
  
• Familiarity with Microsoft Purview, Entra ID, and Fabric workspace security models.
  
• Strong written and verbal communication; comfortable working directly with client stakeholders.
  

Requirements
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