Position-Sr Data Engineer Microsoft fabric with Data migration - Medallion (Lakehouse) experience
Location-Canada-Remote
Duraion : Fulltime

Role Overview
We are seeking a Senior Fabric Data Engineer to design, build, and optimize enterprise-grade data solutions using Microsoft Fabric. The ideal candidate has deep expertise across Lakehouse, Data Engineering, Data Factory Pipelines, Real-time Analytics, SQL, and Power BI, with strong experience modernizing data platforms and delivering scalable, governed analytics solutions.
Key Responsibilities
1. Data Engineering & Lakehouse Development
Design and develop Lakehouse architecture using Fabric’s OneLake, Delta tables, and Medallion architecture.
Build scalable Dataflows Gen2, Notebooks (PySpark / SQL), and Pipelines for ingestion, transformation, and orchestration.
Optimize data models, pipelines, and storage for performance, cost efficiency, and governance.
2. ETL / ELT & Pipelines
Create end-to-end ETL/ELT processes leveraging:
Data Factory (Pipelines, Dataflows Gen2)
Eventstream / Real-Time Hub (for streaming)
Spark notebooks for batch + streaming workloads
Implement CI/CD for Fabric workloads using Git integration and deployment pipelines.
3. Data Modeling & Analytics
Build semantic models in Fabric supporting analytics layers.
Work closely with Power BI developers to define DAX measures, relationships, and governed datasets.
Implement best practices for Dimensional Modeling, star schema, and performance tuning.
4. Governance & Security
Implement data governance frameworks, lineage, cataloging, and metadata management in Purview.
Apply Fabric security best practices:
Row-level security (RLS)
Access control on OneLake and workspace roles
Sensitivity labels and retention
5. Collaboration & Leadership
Partner with cross-functional teams—Data Scientists, BI Engineers, Domain Owners, and Business Stakeholders.
Provide technical mentorship to junior engineers.
Contribute to establishing Fabric Center of Excellence, reusable standards, patterns, and accelerators.
Required Skills
7–10+ years of experience in Data Engineering.
Strong hands-on experience with Microsoft Fabric (at least one production implementation).
Deep knowledge of:
PySpark / Spark SQL
Lakehouse & Delta architecture
Data Factory (Fabric)
Power BI datasets
Git integration & DevOps practices
Expertise in designing high-performance data pipelines (batch + real-time).
Strong SQL skills and understanding of distributed compute optimization.
Preferred Skills
Experience with Azure Data Platform (ADLS, ADF, Synapse, Databricks).
Exposure to KQL and Real-time Analytics in Fabric.
Knowledge of Machine Learning pipelines or integration patterns.
Experience with Purview or other data governance tools.
Familiarity with Agile delivery and working in product-based data teams.

Fabric Data Engineer(LakehouseExperince must)

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