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Protocol Intelligence
Data-driven signals on your job's competitivenessPopular Data Engineer title plus broad Microsoft Fabric and integration skills creates moderate competition.
High because role requires Microsoft Fabric, SAP ERP integration and domain-specific ETL expertise.
Multiple mandatory technical skills (Microsoft Fabric, PySpark, SAP, Power BI) enforce strict shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize enterprise-scale data integration and pipeline solutions using Microsoft Fabric addressing multiple source systems including SAP ERP and various non-ERP digital tools.
Implement and maintain ETL processes, data transformation, cleansing, and medallion architecture (Bronze, Silver, Gold) to ensure high data quality and consistent enterprise datasets.
Collaborate with business stakeholders to gather requirements, develop Power BI dashboards, and monitor/troubleshoot data workflows ensuring operational efficiency.
Minimum Requirements
Proven experience as a Data Engineer with expertise in Microsoft Fabric, PySpark, Python, SQL, and Power BI.
Bachelor’s degree in Computer Science, Information Technology, or related field.
Experience integrating data from SAP ERP and various non-ERP systems including CRM and ITSM tools.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced working in enterprise environments involving complex multi-source system integrations including ERP and non-ERP platforms.
Strong technical competency in designing scalable data pipelines and applying modern data architecture principles such as medallion architecture.
Comfortable collaborating across IT and business teams to translate complex data requirements into actionable analytics and maintain documentation and governance.