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Niche Microsoft Fabric requirement and seniority reduce competition despite being remote.
Role requires deep Microsoft Fabric and Azure expertise, limiting cross-industry transferability.
Mandatory Microsoft Fabric/Azure expertise and explicit 10+ years make shortlisting highly strict.
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Lead the design, development, and implementation of scalable enterprise-grade data engineering solutions using Microsoft Fabric and Azure.
Design and optimize data pipelines for batch and real-time processing, including ETL/ELT processes, data ingestion, transformation, and integration from multiple source systems.
Provide technical leadership, mentoring, and collaborate with architects, BI developers, and stakeholders in solution design, troubleshooting, and production support.
10+ years of experience in data engineering or data platform development.
Strong hands-on expertise in Microsoft Fabric components (Data Factory, Lakehouse, Data Warehouse, OneLake) and Microsoft Azure data services (Azure Data Factory, Data Lake Storage Gen2, Synapse Analytics, Azure SQL, Databricks).
Proficiency in SQL, Python and/or PySpark, ETL/ELT design, data warehousing, dimensional modeling, and lakehouse architecture.
Immediate to 30 days notice period availability to join.
Proven ability to independently lead data engineering projects and translate business requirements into scalable technical solutions using Microsoft Fabric and Azure.
Experienced in managing and optimizing complex data pipelines, with strong stakeholder communication and mentoring skills.
Comfortable working in a remote environment while leading technical discussions and collaborating cross-functionally.