Microsoft Fabric Data Engineer

Lakehouse Development

• Design and maintain Fabric Lakehouse environments.


• Develop and optimize Delta Tables for high-performance analytics workloads.


• Implement Medallion Architecture (Bronze, Silver, Gold layers) to support data quality and governance requirements.


• Create curated datasets for reporting, analytics, and AI/ML use cases.

Data Transformation & Processing

• Develop data transformation logic using PySpark, Spark SQL, and notebooks.


• Create reusable frameworks and data engineering best practices.


• Perform data cleansing, enrichment, and standardization activities.


• Data Modeling & Analytics Support


• Design dimensional and analytical data models.


• Collaborate with Business Intelligence teams to support Power BI semantic models and reporting requirements.


• Ensure data consistency, quality, and accuracy across data platforms.

Key Responsibilities

Data Engineering & Integration

• Design, develop, and maintain scalable data ingestion and transformation pipelines using Microsoft Fabric.


• Build and manage ETL/ELT workflows using Fabric Data Factory and Data Pipelines.


• Integrate data from multiple sources including databases, APIs, flat files, cloud storage, and SaaS applications.


• Implement incremental data loads and Change Data Capture (CDC) strategies.

Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.

Required Skills

Technical Skills

• Microsoft Fabric


• OneLake


• Fabric Lakehouse


• Fabric Data Factory


• Data Pipelines


• Notebook Development


• PySpark


• Spark SQL


• SQL


• Delta Lake


• Medallion Architecture


• Power BI Integration


• Git Version Control

Cloud & Data Platform Experience

• Azure Data Services


• Azure Data Lake Storage (ADLS)


• Azure Synapse Analytics (preferred)


• Azure DevOps

Data Engineering Concepts

• ETL/ELT Development


• Data Modeling


• Data Warehousing


• Data Governance


• Data Quality Frameworks


• Performance Tuning

Preferred Qualifications

• Experience in large-scale enterprise data transformation programs.


• Knowledge of Data Mesh and Modern Data Platform concepts.


• Exposure to AI/ML data preparation processes.


• Microsoft Fabric Certification (Preferred).

Experience working in Banking, Insurance, Healthcare, or Retail domains.