Microsoft Fabric Data Integration Engineer

Design, build, and monitor ETL/ELT pipelines using Fabric Data Factory, Data Pipelines, Dataflows Gen2, OneLake, Lakehouse, and Fabric Warehouse Automate secure data extraction from SAP and Workday using supported connectors, APIs, or web services Configure initial loads and recurring refreshes Develop SQL joins, transformation rules, and mapping tables to resolve duplicates, missing identifiers, and unmatched records Match records across SAP and Workday systems using a common identifier Implement automated data quality checks, reconciliation, and exception reporting Maintain access controls, audit logs, and data lineage Support testing and user acceptance Document source-to-target mappings and operating procedures Provide knowledge transfer, Azure Data Factory Python PySpark Power Query Power BI Database Development Data Integration Data Quality Management Record Matching and Reconciliation Source-to-Target Mapping Documentation Knowledge Transfer User Acceptance Testing Support Data Governance

5+ years of experience Bachelor’s degree in a relevant technical field

Skills Microsoft Fabric ETL/ELT Pipeline Development SAP Data Integration Workday Data Integration SQL

Company is a client seeking to strengthen its enterprise data capabilities. The organization relies on SAP for financial data and Workday for HR and payroll data, and is focused on consolidating information from these systems into Microsoft Fabric to enable financial, HR, and operational reporting. The client values secure, automated, and well-governed data integration practices, with attention to data quality, reconciliation, access controls, audit logs, and data lineage across its enterprise reporting environment.