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Mid-level data engineer role in a metro with moderate brand and niche Fabric skills attracts medium competition.
Core data engineering skills transfer well, though Fabric and SAP integration make fit moderately sensitive.
Explicit 5–8 years plus mandatory Microsoft Fabric, PySpark and SQL increases shortlisting strictness to high.
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Lead design and delivery of scalable data pipelines on Microsoft Fabric, owning end-to-end data engineering lifecycle including ingestion, transformation, and serving.
Implement medallion architecture (Bronze/Silver/Gold) to ensure trusted, high-quality data for analytics and AI use cases.
Drive adoption of modern development approaches including low-code/no-code capabilities, AI-assisted coding tools, and support CI/CD for data assets.
5–8+ years of experience in data engineering or analytics engineering.
Strong hands-on expertise in Microsoft Fabric or similar modern data platforms, Python, PySpark, and SQL.
Experience with notebook-based development producing clean, modular, production-ready code.
Work Experience Required: 5–8+ years in data engineering or analytics engineering. Notice period: Not explicitly mentioned in the JD.
Experienced with medallion architecture, data modeling (star schema, dimensional), and designing high-volume data pipelines at scale.
Comfortable in fast-paced, build-as-you-go environments with high ownership and operational mindset focusing on pipeline optimization for performance, cost, and reliability.
Able to drive standards and mentor junior engineers, leveraging AI-assisted development tools and modern data engineering best practices.