Job Title: Fabric Data Engineer

About the Role

We are looking for a hands-on Fabric Data Engineer who thrives in the details — someone who

writes the PySpark, builds the pipeline, creates the table, and owns it end to end in production.

This is not an advisory role. You will be deep in Microsoft Fabric and Azure Databricks daily,

engineering the data foundations that power enterprise applications and Power BI reporting at

scale.

You bring strong Python and PySpark skills, understand the Fabric ecosystem inside out, and

know how to structure data so that both applications and analysts can consume it cleanly

without workarounds. You care about pipeline reliability, data quality, and the kind of logging

and alerting that means your team sleeps well at night.

Key Responsibilities

Microsoft Fabric & OneLake Engineering: Design, build, and maintain data lakehouses on

Microsoft Fabric

Azure Databricks Development Build and maintain Spark-based transformation pipelines in

Databricks using PySpark and Python, following a modular, testable code structure.

Consumption Layer for Applications & Power BI Design and deliver a clean, stable

consumption data layer

Pipeline Monitoring & Maintenance

Logging Framework

Alerting Mechanism