Senior Microsoft Fabric Data Engineer

8 hours ago

Cairo, Cairo, Egypt ARABIAN CONSTENG Full time

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.

Key Responsibilities

  • Design and Architect End-to-End #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.

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.

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 #Oracle_EBS/ #Fusion or similar on-prem sources is a plus

Certifications: #Microsoft_Fabric or #Azure_Data_Engineer_Associate (DP-203) preferred.

  • if you interested kindly send your updated cv to - or call

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