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Mid-level generalist Data Engineer (3–5 yrs) attracts many qualified applicants at a Tier-2 employer.
ETL, SQL and PySpark skills are transferable, but Azure Fabric and C# specificity increases domain dependency.
Explicit 3–5 years plus required Azure Fabric, PySpark, SQL, and C# skills create strict shortlist filters.
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Design, build, and maintain efficient ETL/ELT pipelines including implementation of Medallion architecture (Bronze, Silver, Gold layers) for scalable and high-quality data solutions.
Collaborate with Data Architecture and cross-functional teams to align with enterprise standards and deliver governed, reliable data pipelines supporting BI and analytics.
Maintain hybrid data infrastructure (on-premises and cloud) involving SQL Server, Azure Synapse, Microsoft Fabric; implement monitoring, data quality controls, and CI/CD processes.
3–5 years of experience in data engineering or similar technical role.
Proficient in SQL, Python, PySpark, and C# for data pipeline development and transformation.
Experience with Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Notebooks) and Azure data services (ADF, ADLS, Synapse, Databricks, Azure SQL).
Work Experience Required: 3–5 years in data engineering or similar role.
Experience implementing Medallion architecture and data governance for enterprise-scale data environments.
Comfortable working with structured, semi-structured, and unstructured data in cloud-native and hybrid infrastructures.
Skilled in collaborative environments involving Data Architecture, BI Engineers, and business stakeholders to deliver scalable and governed data solutions.