Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Metro-based mid-level Data Engineer role with popular title and broad Azure/PySpark requirements increases candidate competition.
Strong Azure Databricks and Microsoft Fabric emphasis reduces cross-industry portability moderately.
Explicit 6+ years plus mandatory PySpark, Databricks, Fabric and governance skills enforce strict screening.
Design, develop, deploy, and maintain scalable batch and streaming data pipelines with PySpark, Azure Databricks, and Microsoft Fabric.
Architect and implement Medallion Architecture layers (Bronze, Silver, Gold) and Lakehouse patterns for enterprise data analytics and processing.
Lead performance optimization, governance, secure data sharing, Microsoft Fabric capacity planning, and ensure operational reliability of data solutions.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
6+ years of proven Data Engineering experience delivering enterprise-scale cloud data platforms.
Strong hands-on expertise in PySpark, Azure Databricks, Microsoft Fabric, Medallion Architecture, ETL/ELT, and Azure data services.
Advanced SQL skills and experience with CI/CD pipelines, Azure DevOps or Git-based source control.
Experienced in Microsoft Fabric including capacity planning, workload monitoring, and designing domain-aligned workspaces across environments.
Proficient in implementing secure, governed data sharing using OneLake, Lakehouse, Warehouse, and semantic models.
Skilled in applying data management best practices in governance, data quality, lineage, security, and operational monitoring within enterprise environments.