Microsoft Fabric Development

Design and implement solutions using Microsoft Fabric components:

OneLake

Data Factory (Fabric pipelines)

Data Engineering (Lakehouse, Notebooks)

Data Warehousing

Power BI

Build and maintain Lakehouse and Warehouse architectures

Data Pipeline & Integration

Develop data ingestion pipelines from multiple sources (on-prem, cloud, APIs)

Implement ETL/ELT workflows using Fabric Data Factory

Orchestrate workloads using pipelines and triggers

Data Engineering & Processing

Work with Spark (PySpark/Scala) notebooks in Fabric

Transform large datasets using distributed computing

Manage structured and unstructured data

Analytics & Reporting

Integrate Power BI for data visualization and reporting

Build semantic models and datasets

Enable self-service BI capabilities

Azure Subscription Management

Deploy and manage resources within Azure subscription

Handle access control (IAM), governance, and security

Monitor performance and optimize costs

Performance & Optimization

Optimize queries and storage in Lakehouse/Warehouse

Implement partitioning and data modeling strategies

Ensure high performance and scalability

Core Skills

3–5 years of experience in data engineering / Azure data services

Hands-on experience with Microsoft Fabric (or Synapse + Data Factory equivalent)

Strong SQL skills

Experience with ETL/ELT pipelines

Fabric / Azure Stack

Microsoft Fabric

Azure Data Factory (or Fabric Pipelines)

Azure Synapse Analytics

Data Lake (ADLS Gen2 / OneLake)

Power BI

Programming

Proficiency in Python / PySpark / SQL

Familiarity with Spark-based processing

Technology->Cloud Platform->Azure Devops,Technology->Microsoft Technologies->Microsoft Fabric

Experience with real-time analytics or streaming (Event Hub, Kafka)

Knowledge of Delta Lake / Lakehouse architecture

Familiarity with CI/CD (Azure DevOps, GitHub)

Microsoft Certifications (e.g., DP-600, DP-203)