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Remote mid-level generalist data role with broad Azure/Microsoft Fabric skills drives high candidate competition.
Core data engineering skills are transferable, though Microsoft Fabric/Azure specifics moderately reduce cross-industry fit.
Explicit 5+ years, mandatory Microsoft Fabric, SQL, Python, and Azure DevOps increases shortlisting strictness.
Design, build, and maintain scalable ETL/ELT pipelines using Microsoft Fabric technologies and legacy SSIS workflows.
Implement Medallion Architecture layers (Bronze, Silver, Gold) with Delta Lake, Warehouse, and OneLake.
Develop and optimize data models including star schemas, SCD Type 1/2 handling, partitioning, Z-ordering, and manage data governance/security such as Row-Level Security and lineage with Microsoft Purview.
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
5+ years of core Data Engineering, BI, or Data Warehouse development experience.
Strong expertise with Microsoft Fabric (Lakehouse, OneLake, Pipelines, Notebooks) and advanced SQL (T-SQL).
Hands-on experience (3–5 years) with SSIS/SSMS/SSDT and CI/CD deployment using Azure DevOps/Git.
Experienced in implementing scalable data pipeline solutions on Microsoft Fabric with legacy SSIS integration.
Deep understanding of Kimball dimensional modeling and data warehouse optimization techniques.
Comfortable working in US EST shift remote setup and engaging with complex data governance and security frameworks.