Microsoft Fabric & Power BI

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.