Key Job Details

Location : Hybrid (Gurgaon/Noida/Pune/Mumbai/Bangalore)

Level : Mid-level

Employment type : Full Time
Job Description

We’re seeking a Microsoft Fabric Data Engineer to design, develop, and operationalize end-to-end analytics solutions on Microsoft Fabric. You will own the data lifecycle—from ingestion and transformation to semantic modelling, warehousing, real-time analytics, and BI—leveraging One Lake, Lakehouse, Data Factory, Synapse Data Warehouse, Real-Time Analytics (KQL), and Power BI.
Experience Required
- 5-8 Years
Key Responsibilities
Data Engineering & Modeling
- Implement robust ELT/ETL pipelines with Git integration, CI/CD, deployment pipelines, and parameterization.
- Develop high-quality semantic models (Direct Lake/Import/DQ), DAX measures, and calculation groups for high-performance BI.
- Optimize storage and compute in OneLake using shortcuts, mirroring, and incremental loading strategies.
Real-Time & Streaming
- Create Real-Time Analytics solutions using KQL, event streams,



and integrations with streaming services to power low-latency dashboards and alerting.
Governance, Security & Compliance
- Implement data governance with Microsoft Purview: lineage, glossary, data classification, and access policies.
- Enforce security best practices: RBAC, MS Entra ID (Azure AD) integration, conditional access, row/object-level security, and secrets management.
- Define DR/backups, cost management, and monitoring/observability (workspace metrics, pipeline runs, Spark job performance).
Operational Excellence
- Establish development standards, coding conventions, unit/integration testing, and reliability patterns.
- Lead performance tuning for Spark, SQL, and BI models; troubleshoot cross-component issues end-to-end.
- Mentor engineers and partner closely with analytics, product, and business stakeholders to translate requirements into reliable solutions.
Required Qualifications
- - 5–8 years in data engineering/analytics; 3–5 years building a

📌 Data Engineer with Fabric (Gurugram)
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