Data Engineer – MS Fabric & Azure
Actively Reviewing the ApplicationsZorba AI
India
Full-Time
On-site
INR 15–30 LPA
Posted 3 weeks ago
•
Apply by June 10, 2026
Job Description
Job Summary
We are looking for an experienced Data Engineer with strong expertise in Microsoft Fabric and Azure Data Platform services to design, build, and optimize scalable data pipelines and analytics solutions. The candidate will work with large datasets, implement modern data architecture, and support enterprise analytics and reporting initiatives.
Key Responsibilities
We are looking for an experienced Data Engineer with strong expertise in Microsoft Fabric and Azure Data Platform services to design, build, and optimize scalable data pipelines and analytics solutions. The candidate will work with large datasets, implement modern data architecture, and support enterprise analytics and reporting initiatives.
Key Responsibilities
- Design and develop data pipelines using Microsoft Fabric and Azure Data Factory.
- Build and manage data ingestion frameworks for structured and unstructured data.
- Develop and maintain data models and ETL/ELT processes using Azure SQL and Fabric.
- Work with Azure Data Lake Storage (ADLS) for large-scale data storage and processing.
- Implement data transformation and orchestration workflows.
- Optimize SQL queries, pipelines, and storage performance.
- Ensure data quality, governance, and security across Azure platforms.
- Collaborate with data analysts, BI developers, and business stakeholders to support analytics use cases.
- Monitor and troubleshoot data pipeline performance issues.
- Implement best practices for CI/CD, version control, and deployment in data projects.
- 6+ years of experience in Data Engineering or Data Platform roles
- Strong experience with Microsoft Fabric (Primary skill)
- Hands-on experience with Azure Data Factory
- Strong knowledge of Azure SQL Database / Azure Synapse / SQL
- Experience with Azure Data Lake (ADLS Gen2)
- Experience in ETL/ELT pipeline development
- Strong SQL query writing and performance optimization
- Experience with data modeling concepts (Star Schema, Dimensional modeling)
- Familiarity with data orchestration and scheduling
Required Skills
Engineering
SQL
Data Modeling
Scheduling
Azure
Data Lake
ETL
Support Analytics
Data Engineering
CI/CD
Data platform
Analytics
Data quality
Governance
SQL Database
Query writing
Orchestration
Performance optimization
Version control
Microsoft Fabric
Data models
Writing
Data ingestion
Modeling
Dimensional modeling
Schema
SQL Queries
Ingestion
Star schema
Data transformation
Pipeline development
Data pipelines
Synapse
Factory
Data modeling concepts
SQL Query
SQL Query Writing
ADLS
Unstructured data
Data Orchestration
Azure SQL
Data Storage and Processing
Storage
Dimensional
ELT
Azure Data Factory
Data Pipeline
Azure Data Lake
Data Factory
Azure Data Platform
Data storage
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