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Data Engineer title, 3–5 year band, and likely metro hiring create high applicant competition.
Role requires platform-specific Azure Fabric/Synapse and PySpark skills, making industry moves moderately sensitive.
Explicit 3–5 years plus mandatory Azure Fabric/Synapse, PySpark, SQL and C# skills increase screening strictness.
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Design, build, and maintain scalable ETL/ELT pipelines utilizing Medallion architecture for improved data quality and modularity.
Collaborate closely with Data Architecture and cross-functional teams to align with enterprise data standards and deliver governed, reliable data solutions supporting business insights.
Maintain and support hybrid data environments using SQL Server, Azure Synapse Analytics, and Microsoft Fabric, including monitoring, data quality processes, and governance compliance.
3–5 years of experience in data engineering or similar technical role.
Strong proficiency in SQL and advanced skills in Python and PySpark for data processing and transformation.
Experience with Microsoft Fabric components and Azure data services (ADF, ADLS, Synapse, Databricks, Azure SQL).
Work Experience Required: 3–5 years
Experienced in designing and optimizing complex data pipelines with a focus on Medallion architecture and data quality.
Comfortable operating in hybrid on-premises and cloud environments with expertise in Microsoft Azure ecosystem.
Proficient in integrating multiple data sources and collaborating across data architecture, BI engineering, and business stakeholders to deliver actionable data products.