Migrate legacy SQL Server Analysis Services (SSAS) cubes to Microsoft Fabric.

In this role, you will design up-to-date data pipelines, build scalable Lakehouses, and rewrite traditional cube structures into high-performance semantic models.

This position blends cloud architecture, pipeline engineering, and advanced data modeling. Key Responsibilities

Data Migration & Architecture:

Migrate legacy on-premises SQL cubes (Tabular or Multi-dimensional) to Microsoft Fabric.

Design, build, and maintain scalable data layers using Fabric Lakehouses, Warehouses, and OneLake.

Transition traditional data models into optimized Star Schemas utilizing Delta Parquet formats.

Pipeline Engineering & Automation:

Build robust ETL/ELT pipelines using Fabric Data Pipelines, Dataflows Gen2, and Azure Data Factory.

Write high-performance data processing scripts using Python (PySpark)



inside Fabric Notebooks.

Set up Secure Gateways to extract and ingest raw data from on-premises SQL Servers to the cloud.

Semantic Modeling & Analytics:

Create and optimize Fabric Semantic Models configured for Direct Lake mode.

Translate legacy database configurations, relationships, and MDX logic into modern DAX measures.

Collaborate with business intelligence teams to ensure seamless data delivery for Power BI reporting.

Operations & Governance:

Implement cloud security practices including workspace roles, row-level security (RLS), and data masking.

Monitor pipeline health, tune SQL/PySpark query performance, and manage cloud compute costs.

📌 Senior Data Engineer - MS Fabric (India)
🏢 Technocrats Domain
📍 India