Posted on: 02/07/2026
Job Details :
- Job Title : Senior Data Engineer - Microsoft Fabric
- Experience : 8+ Years
- Location : Bengaluru
- Employment Type : Full-Time
Job Summary :
- We are seeking an experienced Senior Data Engineer with strong expertise in Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse Analytics, Python, and PySpark. The ideal candidate will have hands-on experience designing, developing, and optimizing scalable data engineering solutions, ETL/ELT pipelines, and modern data platforms using Azure technologies.
Key Responsibilities :
- Design, develop, and maintain scalable data pipelines using Microsoft Fabric.
- Build robust ETL/ELT solutions using Azure Data Factory (ADF) and Azure Synapse Analytics.
- Develop high-performance data processing applications using Python and PySpark.
- Design and implement Lakehouse, Data Lake, and Data Warehouse architectures.
- Optimize SQL queries, data models, and data pipelines for performance and scalability.
- Collaborate with business stakeholders, architects, and developers to understand data requirements.
- Ensure data quality, governance, security, and reliability across data platforms.
- Support deployment, production monitoring, troubleshooting, and performance tuning.
- Participate in code reviews and follow data engineering best practices.
Mandatory Skills :
Primary Skills :
- Microsoft Fabric
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Python
- PySpark
- SQL
- ETL/ELT Pipeline Development
- Data Engineering
- Data Modeling
- Data Platform Skills
- Azure Data Lake Storage (ADLS)
- Lakehouse Architecture
- Data Warehouse
- Data Lake
- Data Integration
- Data Transformation
Preferred Skills :
- Azure Data Services
- Azure Databricks
- Azure DevOps
- CI/CD Pipelines
- Git
- Performance Optimization
- Data Governance
- Power BI (Good to Have)
Soft Skills :
- Excellent communication skills
- Strong analytical and problem-solving abilities
- Stakeholder management
- Ability to work in Agile environments
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1650629