Live opening · Posted 13 days ago
The key details from the original listing.
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Description supplied by the original job listing.
IMP Notice:
This role is Critical and require Quick Joiner from India Region Only.
Over Exp / Costing Profiles will not be considered. Pls excuse.
Looking for a Data Engineer with hands-on Microsoft Fabric, OneLake, PySpark, SQL and Power BI experience. To work on a high-impact Telecom Data Engineering project focused on building scalable data platforms, analytics pipelines and reporting solutions across multiple customer segments.
Microsoft Fabric Data Engineer | 5-6 Years | Remote | 6-Month Contract | Quick Joiner Only |
Offering Payout: INR 100,000 Per Month (All Incl)
🏗️ Microsoft Fabric & Data Platform
Design and develop Microsoft Fabric / OneLake solutions
Build and manage Lakehouses, Warehouses & Data Pipelines
Develop scalable data models for analytics and reporting
Implement Lakehouse architecture using Delta Lake
🔄 Data Integration
Integrate data from GCP BigQuery & Kafka
Build robust pipelines using Microsoft Fabric Pipelines / Azure Data Factory
Ensure data quality, lineage and audit readiness
Validate source-system data before downstream consumption
🔗 Data Integration & APIs
Collaborate with DxL / Node.js / API teams
Define and implement data contracts
Prepare structured datasets for downstream applications
Align data models with reporting and API requirements
📊 Power BI & Reporting
Enable Power BI datasets and semantic models
Optimize DirectLake / Import performance
Support reporting teams with data modeling and DAX guidance
🔐 Data Modeling & Governance
Build segment-specific data models such as SMB & Managed Services
Maintain consistent business definitions and logic
Implement monitoring, governance and data-quality checks
Manage CI/CD deployments from Dev → Production
Required Skills & Experience:
5+ years of Data Engineering experience
Hands-on Microsoft Fabric / Azure Data Factory / Synapse
Strong SQL + PySpark / Spark SQL
Data Lake / Lakehouse architecture
Microsoft Fabric Pipelines / OneLake
GCP BigQuery integration exposure
Strong Power BI Semantic Modeling knowledge
Delta Lake experience
Technical Stack:
Microsoft: MS Fabric | OneLake | Power BI | Semantic Models
Data: GCP BigQuery | Kafka
Engineering: Azure Data Factory | PySpark | Spark SQL | Delta Lake
Integration: Node.js | REST APIs
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