Senior Microsoft Fabric Data Engineer

We are looking for  Senior Microsoft Fabric Data Engineer to join our data & analytics consulting team⁣.
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𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Hybrid (Cairo, Egypt)⁣
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 5–7 years⁣
This role is designed for an experienced data professional who can architect, build, and optimize complex data pipelines and end-to-end workflows in Microsoft Fabric, with a strong foundation in Azure Synapse, Azure Data Factory and enterprise data warehousing principles.⁣
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𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:⁣
– Design and Architect End-to-End hashtag⁣
Fabric Solutions Lead architecture and implementation across Fabric components⁣
– Data Pipelines, Lakehouses, Dataflows Gen2, Warehouses, and Semantic Models Develop and Optimize Data Pipelines Design, orchestrate, and monitor complex workflows in Microsoft Fabric, Azure Data Factory (ADF), and Azure Synapse Analytics Data Modeling & Transformation:⁣
– Apply advanced SQL and data modeling techniques (star schema, snowflake, normalization, SCD, CDC, etc.) to build scalable, maintainable data models.⁣
Implement best practices in ELT/ETL, data ingestion, transformation, partitioning, and performance tuning Leverage Delta/Parquet formats, incremental loading, and metadata-driven ingestion patterns.⁣
– Work closely with Data Architects, Business Analysts, and BI Developers to align technical design with business goals.⁣
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𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞:⁣
Microsoft Fabric: Deep hands-on experience with Data Pipelines, Lake houses, Warehouses, Dataflows Gen2, and OneLake integration.⁣
Azure Data Factory: Mastery in building, orchestrating, and monitoring large-scale pipelines.⁣
Azure Synapse Analytics: Proficiency in dedicated SQL pools, server less queries, partitioning, and performance optimization.⁣
SQL Mastery: Advanced SQL development (CTEs, window functions, dynamic SQL, tuning, indexing).⁣
Data Lake Architecture: Delta Lake, Parquet, partitioning strategies, medallion (Bronze/Silver/Gold) design⁣
Data Engineering Concepts: (ELT vs ETL, Incremental and full-load design, Orchestration and monitoring, Data quality and validation frameworks, Parallelism and pipeline optimization)⁣
Data Warehousing Concepts: (Star/Snowflake schema design, SCDs, Data Modelling,⁣
Data governance and security layers (Row-Level Security, sensitivity labels) Performance Optimization: Analyze workloads and optimize pipelines, partitioning, caching, and cost-performance balance.⁣
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𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬:⁣
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 5–7 years in data engineering and BI solutions.⁣
𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧: Degree in Computer Science, Information Systems, or a related field.⁣
𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐒𝐤𝐢𝐥𝐥𝐬: Python, PySpark, or DAX is a plus.⁣
𝐓𝐨𝐨𝐥𝐬 & 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦: Exposure to Power BI, Data bricks, or Azure Logic Apps is a plus.⁣
𝐎𝐫𝐚𝐜𝐥𝐞 𝐒𝐨𝐮𝐫𝐜𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Familiarity with hashtag⁣
Oracle_EBS/ hashtag⁣
Fusion or similar on-prem sources is a plus⁣
𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Microsoft_Fabric or Azure Data Engineer Associate (DP-203) preferred.⁣
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𝐢𝐟 𝐲𝐨𝐮 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝 𝐤𝐢𝐧𝐝𝐥𝐲 𝐬𝐞𝐧𝐝 𝐲𝐨𝐮𝐫 𝐮𝐩𝐝𝐚𝐭𝐞𝐝 𝐜𝐯 𝐭𝐨⁣
hr@out-sourcy.com