We are looking for a skilled **Data Engineer** with strong expertise in **Microsoft Fabric, Azure Data Factory (ADF), SQL, and PySpark**. The ideal candidate will have experience building scalable data pipelines, implementing modern Lakehouse architectures, and supporting enterprise data transformation initiatives.
Key Responsibilities
Design, develop, and maintain ETL/ELT pipelines using **Azure Data Factory (ADF)** and **Microsoft Fabric**
Build scalable and efficient data transformation processes using **SQL** and **PySpark**
Implement and optimize **Lakehouse architectures** using Microsoft Fabric
Develop and maintain data models, data warehouses, and reporting datasets
Perform data migration, cleansing, validation, and quality checks
Monitor, troubleshoot, and optimize pipeline performance
Collaborate with business stakeholders, analysts, and development teams to understand data requirements
Support deployment processes and CI/CD implementations using Azure DevOps and Git
Ensure adherence to data governance, security, and best practices
Required Skills \& QualificationsMandatory Skills
4–8 years of experience in Data Engineering
Minimum **2\+ years of hands\-on experience with Microsoft Fabric**
Strong expertise in **SQL (T\-SQL / PL\-SQL)**
Query optimization
Performance tuning
Complex stored procedures and views
Hands\-on experience with **Azure Data Factory (ADF)**
Pipeline design
Orchestration
Monitoring and troubleshooting
Experience with **PySpark** and Spark\-based data processing
Working knowledge of:
Microsoft Fabric Lakehouse
Fabric Dataflows
Fabric Pipelines
Good to Have
Experience with streaming technologies such as **Apache Kafka** or **Azure Event Hub**
Exposure to **Power BI** and Fabric Semantic Models
Understanding of Data Security, Governance, and Compliance frameworks
Experience working in Agile/Scrum environments
Preferred Candidate Profile
Strong analytical and problem\-solving skills
Excellent communication and stakeholder management abilities
Ability to work independently in a remote environment
Quick learner with a passion for modern data platforms and cloud technologies
Application Process
Interested candidates can share their updated resume to