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Popular mid-level data engineer role with broad Azure/PySpark requirements and metro assumption increases competition.
Core data engineering skills (SQL, PySpark, Azure) are broadly transferable across industries.
Explicit 3–5 years plus many mandatory Azure, Fabric, PySpark, SQL, and C# skills enforce high shortlisting strictness.
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Design, build, and maintain efficient ETL/ELT pipelines aligned with Medallion architecture (Bronze, Silver, Gold layers) for scalable and modular data solutions.
Collaborate cross-functionally with Data Architecture, BI Engineers, and stakeholders to deliver reliable data platforms using on-prem and cloud technologies (SQL Server, Azure Synapse, Microsoft Fabric).
Support data governance, monitoring, testing, and process improvements to ensure data quality, compliance, and pipeline performance.
3–5 years experience in data engineering or similar technical role.
Proficiency in SQL, Python, PySpark, and C# with hands-on ETL/ELT development experience.
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 roles.
Experienced in implementing Medallion architecture data pipelines and integrating cloud and on-premises environments.
Skilled in collaborative environments working closely with cross-functional teams including BI, data science, and compliance.
Comfortable maintaining CI/CD processes, DevOps practices, and supporting data governance in fast-paced cloud-based enterprises.