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Mid-level generalist data engineer role, metro location, and broad Azure/PySpark skillset make applicant competition high.
Requires Azure and Microsoft Fabric expertise making cross-industry fit moderately sensitive.
Explicit 3–5 years plus mandatory Azure Fabric, PySpark, and SQL skills indicate high shortlisting strictness.
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Design, build, and maintain efficient ETL/ELT data pipelines employing Medallion architecture for modularity and scalability.
Collaborate with Data Architecture and cross-functional teams to align data solutions with enterprise models and enable business insights.
Support hybrid data environments (on-premises and cloud) using SQL Server, Azure Synapse, Microsoft Fabric, ensuring data quality, monitoring, and governance compliance.
3–5 years of experience in data engineering or similar technical role.
Strong proficiency in SQL, Python, PySpark, and experience with ETL/ELT pipeline development.
Hands-on expertise with Microsoft Fabric components and Azure data services including ADF, ADLS, Synapse, Databricks, and Azure SQL.
Work Experience Required: 3-5 years; Notice Period: Not explicitly mentioned in the JD.
Experienced in implementing Medallion architecture and scalable data engineering solutions in cloud and hybrid environments.
Skilled in collaboration across technical and business teams to translate requirements into reliable, governed data pipelines.
Comfortable working with structured, semi-structured, and unstructured data, including data governance and CI/CD practices in cloud-based data ecosystems.