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59 минут назад

Microsoft Fabric Senior Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Egypt
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Microsoft Fabric Senior Data Engineer (Microsoft Fabric/Data Technologies): Design, build, deploy, and support enterprise data solutions on Microsoft Fabric from source integration through reliable, business-ready datasets with an accent on architecture, integration, governance, and production operations. Focus on implementing end-to-end Fabric solutions, optimizing Spark and SQL workloads, orchestrating reliable data pipelines, and translating business requirements into governed analytical datasets.

Location: Cairo, Egypt — Hybrid

Company

hirify.global USA delivers data technology and consulting solutions.

What you will do

  • Design, build, deploy, and support enterprise data solutions on Microsoft Fabric from source integration to business-ready datasets.
  • Integrate databases, APIs, files, and enterprise applications using Fabric Data Factory pipelines, Dataflows Gen2, and notebooks.
  • Implement transformations, loading patterns, dimensional models, validation, reconciliation, orchestration, and operational monitoring.
  • Apply security, governance, Git integration, deployment pipelines, and controlled promotion across development, test, and production.
  • Optimize Spark and SQL workloads, Delta tables, and Fabric capacity usage while troubleshooting production issues.
  • Deliver curated datasets for Power BI, including support for semantic models, Direct Lake, and refresh dependencies.

Requirements

  • 5+ years of data engineering experience, including at least 1–2 years of hands-on Microsoft Fabric implementation.
  • At least one end-to-end Microsoft Fabric solution delivered to production, including deployment and post-go-live support.
  • Active Microsoft Certified: Fabric Data Engineer Associate (DP-700) certification with a verifiable credential link.
  • Relevant degree or equivalent professional experience.
  • Hands-on knowledge of OneLake, Lakehouse, Warehouse, Delta tables, Bronze/Silver/Gold architecture, and the ability to explain design tradeoffs.
  • Strong SQL/T-SQL and Python/PySpark skills for transformations, troubleshooting, and reusable processing logic.
  • Experience with full and incremental loads, change-data capture where supported, upserts, deduplication, schema changes, and late-arriving data.
  • Experience with dimensional modeling, fact and dimension tables, slowly changing dimensions, validation rules, source-to-target reconciliation, and data grain.
  • Experience with parameterized pipelines, dependencies, scheduling, logging, alerts, retries, and safe reruns without duplicating data.
  • Knowledge of workspace and item permissions, data-level access controls, secure connections, sensitivity labels, lineage, Git integration, deployment pipelines, Spark/SQL tuning, Delta optimization, and Fabric Capacity Metrics.
  • Experience across at least two business domains, preferably three, such as Procurement, HR, Finance, Sales, or Inventory, supported by delivered projects.
  • Ability to explain domain processes, KPIs, source data, reporting requirements, implementation contribution, and reconciliation needs.
  • Ability to translate business requirements into data mappings, transformation rules, and acceptance criteria; communicate with stakeholders and own estimates, testing, UAT, documentation, and handover.

Nice to have

  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).
  • Experience integrating Dynamics 365/Dataverse, SAP ECC, S4HANA, or other ERP/CRM platforms.
  • Experience with KQL, Eventstreams, Eventhouse, and real-time processing.
  • Experience with Azure Data Factory, Azure Databricks, ADLS Gen2, and Microsoft Purview.
  • Client-facing consulting experience.

Culture & Benefits

  • Hybrid work in Cairo, Egypt.
  • Full-time employment at executive/senior level.
  • Responsibilities include stakeholder communication, delivery ownership, UAT support, documentation, and operational handover.

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