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Niche Microsoft Fabric specialization reduces applicant pool despite Chennai metro and mid-level seniority.
Strong Microsoft Fabric and Azure-specific requirements reduce cross-industry transferability despite general PySpark/SQL skills.
Mandatory 6–8 years and deep Microsoft Fabric, PySpark, and CI/CD expertise make filters stringent.
Design, develop, and implement scalable data engineering solutions using Microsoft Fabric and OneLake for enterprise data platforms.
Build and optimize end-to-end data pipelines, implementing Medallion Architecture (Bronze, Silver, Gold) using Fabric Lakehouse with PySpark/Spark and SQL.
Lead technical mentoring of engineers, manage deployments (CI/CD), ensure data quality, security, and performance for analytics workloads.
6–8 years of experience in Data Engineering or related roles.
2+ years hands-on experience with Microsoft Fabric; strong expertise in Fabric Data Factory, Lakehouse, Data Warehouse, Spark/PySpark, and SQL.
Experience with data pipelines, Medallion Architecture, data integration (structured & semi-structured), and Azure DevOps/Git Azure integration.
Location: Chennai, Tamil Nadu, India; Employee Type: Permanent. Notice period not explicitly mentioned.
Experienced in delivering enterprise-grade cloud data platforms using Microsoft Fabric and Azure ecosystem.
Skilled in technical leadership including mentoring junior engineers and leading code reviews, design discussions, and deployment processes.
Comfortable handling complex data processing, optimization, and governance in a hybrid structured/semi-structured data environment.