Microsoft Fabric Engineer

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We are seeking a skilled and detail-oriented Microsoft Fabric Engineer to design, implement, and manage data solutions using Microsoft Fabric. In this role you will focus on building scalable, secure, and high-performing data pipelines, integrating data across multiple sources, and enabling real-time analytics and reporting. You will play a pivotal role as well, in our transition from SQL to PySpark and from .NET C# to Microsoft Fabric, while maintaining and improving the current systems.

Key Responsibilities:

Design and implement data pipelines, dataflows, and semantic models using Microsoft Fabric.
Manage and optimize OneLake storage and data access strategies.
Integrate Microsoft Fabric with external systems using Data Factory, Power BI, Synapse, and Azure Data Services.
Configure and manage Fabric capacities, workspaces, and security settings.
Automate data workflows and transformations using Dataflows Gen2, Notebooks, and Spark within Fabric.
Monitor and optimize performance across all Fabric workloads (Data Engineering, Data Science, Data Warehousing, Real-Time Analytics).
Collaborate with data architects, analysts, and business stakeholders to define and deliver robust data solutions.
Implement best practices for data governance, privacy, and compliance in a Fabric environment.
Keep up with Microsoft Fabric roadmap and updates to ensure solutions remain cutting-edge.

Requirements & Skills:

Core Skills:

Proficiency in Microsoft Fabric and its core workloads: data engineering (Lakehouses, Notebooks, Pipelines), Data Factory / Dataflows Gen2, Synapse Data Warehouse, Power BI Direct Lake / Datasets and Real-Time Analytics which serve a different role ina data lifecycle.
Strong experience with Power BI, including DAX, Power Query (M), and visual/report building.
Working knowledge of T-SQL, Python, KQL (Kusto Query Language), and Spark.
Experience with OneLake, Delta Lake, and lakehouse architecture.
Understanding of Azure ecosystem including Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, and Azure Active Directory.
Familiarity with DevOps practices, CI/CD for data pipelines, and version control (e.g., Git).
Strong data modeling skills (star/snowflake schema, normalized models).

Your experience so far:

Bachelor's degree in computer science, information Systems, Data Science, or a related field.
3+ years of experience in data engineering, analytics, or related technical roles.
1+ years of hands-on experience with Microsoft Fabric or equivalent modern data platforms.

Skills appreciated to be:

Microsoft Certified: Fabric Analytics Engineer Associate (or similar certifications).
Experience in data security, access control, data masking, and compliance frameworks (e.g., GDPR, HIPAA).
Background in ETL/ELT pipeline development in enterprise environments.
Hands-on with Fabric REST APIs, automation via PowerShell or ARM templates.

Microsoft Fabric Engineer

Key Skills

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