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Azure Microsoft Fabric Solution Engineer (Implementation)

TOCUMULUS
, UAE
Full Time
Senior
Onsite
Microsoft FabricOneLakeApache SparkPySparkMedallion ArchitectureData Pipeline
Free

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Microsoft FabricOneLakeApache Spark
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Role Overview

  • We are seeking a hands on Azure Microsoft Fabric Solution Engineer specializing in implementation and delivery of enterprise data platforms on Microsoft Azure.
  • The role focuses on building scalable, governed, and metadata driven data solutions using Microsoft Fabric, with deep expertise in OneLake, Apache Spark, and medallion architecture.

Key Responsibilities

  • Implement end to end data solutions on Azure using Microsoft Fabric.
  • Design and build lakehouse architectures using medallion (Bronze–Silver–Gold) pattern.
  • Develop scalable storage and data management solutions in OneLake.
  • Build high performance data pipelines using Apache Spark (PySpark / Spark SQL).
  • Implement metadata driven ingestion and transformation frameworks.
  • Ensure DIAB compliant pipelines with strong data integrity, lineage, and auditability.
  • Integrate data from diverse Azure and external data sources.
  • Leverage Fabric Data Factory capabilities for orchestration.
  • Implement monitoring, logging, and alerting for pipelines.
  • Optimize performance, scalability, and cost across workloads.
  • Collaborate with architects, DevOps, and business teams for delivery.

Required Skills & Qualifications

  • Strong hands on experience with Microsoft Fabric on Azure.
  • Deep expertise in OneLake architecture and governance.
  • Advanced proficiency in Apache Spark (PySpark preferred).
  • Strong understanding of medallion architecture (Bronze, Silver, Gold layers).
  • Proven experience in building metadata driven data pipelines.
  • Solid SQL and data modeling expertise.
  • Experience with ETL/ELT design and optimization.
  • Knowledge of Azure ecosystem and integration patterns.
  • Strong understanding of data governance, lineage, and compliance.

Preferred Qualifications

  • Experience with Power BI and semantic models.
  • Familiarity with Azure native services (e.g., Data Factory concepts within Fabric).
  • Experience implementing CI/CD pipelines (Azure DevOps).
  • Knowledge of real time/streaming data processing.
  • Exposure to Delta Lake and versioned data architectures.

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