Microsoft Fabric
Data Engineer specialized in designing, building, and managing end -to -end data
analytics solutions using the Microsoft Fabric SaaS platform. Should be able to
handle operations like data ingestion, transformation, and storage using tools
like Lakehouse, Data Factory and Power BI Reporting

Key
Responsibilities & Skills

Data Ingestion
& Transformation:
Utilizing Data Factory pipelines, Mirrored DB and Dataflows Gen2 to move and
transform data. Creating and managing lakehouses, implementing Delta Lake
tables for structured and unstructured data.

Power BI
Report development: Proficient
in developing complex dashboards with analytical and real time requirements.

Programming
Proficiencies: Advanced
SQL and DB concepts, Using Python, PySpark notebooks, Spark SQL, T -SQL, and




Kusto Query Language (KQL) for data manipulation and real -time analytics.

Performance
& Security:
Monitoring, optimizing data pipelines, and implementing security measures like
data masking and role -level security (RLS).

Governance
& DevOps:
Implementing CI/CD using Git integration and deploying workspaces. Proficient
in PowerShell, Puppet scripting languages

Monitoring and
Administration: Power BI
Service and Azure administration, Subscription and Resource management, Cost
Management.