ملخص JobPlatform
نظرة سريعة على الوظيفة
هذه الوظيفة لدى SDG Group Middle East، في Cairo, Egypt، بنظام دوام كامل. تفاصيل الوظيفة والمهارات المعروضة أدناه مأخوذة من إعلان الوظيفة الأصلي.
ملف الشركة
عن الشركة
AIi
هذا الملخص مُعد بمساعدة الذكاء الاصطناعي اعتمادًا على المعلومات المتاحة، وقد لا يعكس جميع تفاصيل الشركة.SDG Group Middle East is a regional entity focused on connecting skilled professionals with employment opportunities across various industries. The organization emphasizes career growth and strategic workforce development, supporting individuals in advancing their careers through meaningful job placements. One of the current openings includes the role of Microsoft Fabric Senior Data Engineer, reflecting the company's interest in technology-driven roles that require advanced data engineering expertise. While specific details about the company’s industry, size, or operational scope are not provided, its focus on high-level technical positions suggests an emphasis on innovation and digital transformation within its operations. SDG Group Middle East aims to provide a platform for professionals to explore opportunities aligned with their expertise and career aspirations.
Role purpose
Design, build, deploy, and support enterprise data solutions on Microsoft Fabric, owning delivery from source integration through to reliable, business-ready datasets.
Required experience and qualifications
5+ years of data engineering experience, including at least 1-2 year of hands-on Microsoft Fabric implementation.
Proven delivery of at least one end-to-end Fabric solution running in production, including deployment and post-go-live support.
Active Microsoft Certified: Fabric Data Engineer Associate (DP-700) certification, supported by a verifiable credential link.
Relevant degree or equivalent professional experience.
Mandatory technical requirements
Architecture: OneLake, Lakehouse, Warehouse, Delta tables, and Bronze/Silver/Gold architecture, with the ability to explain design choices and tradeoffs.
Data integration: Fabric Data Factory pipelines, Dataflows Gen2, notebooks, and integration with databases, APIs, files, and enterprise applications.
Programming: Strong SQL/T-SQL and Python/PySpark for transformations, troubleshooting, and reusable processing logic.
Loading patterns: Full and incremental loads, change-data capture where supported, upserts, deduplication, schema changes, and late-arriving data.
Modeling and quality: Dimensional modeling, fact/dimension tables, slowly changing dimensions, validation rules, and source-to-target reconciliation.
Orchestration: Parameterized pipelines, dependencies, scheduling, logging, alerts, retries, and safe reruns without duplicating data.
Security and governance: Workspace and item permissions, data-level access controls, secure connections, sensitivity labels, and lineage.
Deployment: Git integration, deployment pipelines, and controlled promotion across development, test, and production.
Performance and operations: Spark/SQL tuning, Delta table optimization, production troubleshooting, and capacity consumption analysis using Fabric Capacity Metrics.
Analytics integration: Curated datasets for Power BI and an understanding of semantic models, Direct Lake, and refresh dependencies.
Business and delivery requirements
Proven experience across at least two business domains, preferably three, such as Procurement, HR, Finance, Sales, or Inventory, supported by real delivered projects.
Ability to explain each domain’s business processes, key KPIs, source data, reporting requirements, and their personal contribution to implementation.
Translate business requirements into documented data mappings, transformation rules, and acceptance criteria.
Understand data grain, business keys, historical reporting, and reconciliation requirements.
Communicate clearly with business stakeholders, architects, analysts, and source-system teams.
Own estimates, delivery commitments, testing, UAT support, documentation, and operational handover.
Explain technical decisions in terms of business value, cost, performance, and reliability.
Preferred qualifications
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).
Experience integrating Dynamics 365/Dataverse, SAP ECC, S4HANA , or other ERP/CRM platforms.
KQL, Eventstreams, Eventhouse, and real-time processing experience.
Azure Data Factory, Azure Databricks, ADLS Gen2, and Microsoft Purview experience.
Client-facing consulting experience.
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المسار المهني
نظرة عامة على الدور
AIi
هذا الملخص مُعد بمساعدة الذكاء الاصطناعي اعتمادًا على المعلومات المتاحة، وقد لا يعكس جميع تفاصيل الشركة.A Microsoft Fabric Senior Data Engineer designs and implements data solutions using Microsoft Fabric technologies. The role involves integrating data sources, ensuring reliable dataset delivery, and supporting enterprise data infrastructure.
المهارات
المهارات المطلوبة
PythonGoSQLGitAzurePower BI