Senior Fabric Data Engineer

Job Summary

We are building a modern, enterprise-scale data platform on Microsoft Fabric and are looking for a Lead Data Engineer to drive the design and delivery of robust, scalable data pipelines.

This role is hands-on and execution-focused. You will own the end-to-end data engineering lifecycle-from ingestion to transformation to serving-while applying medallion architecture principles (Bronze/Silver/Gold) to enable trusted, high-quality data for analytics and AI.

You'll work at the intersection of engineering discipline and modern productivity-leveraging notebooks, automation, and emerging low-code/AI-assisted capabilities to accelerate delivery without compromising governance.

What are we looking for in you?

• 5-8+ years of experience in data engineering or analytics engineering
• Strong hands-on expertise with
• Microsoft Fabric / Azure data ecosystem (or similar modern data platforms)
• Python, PySpark, and SQL
• Notebook-based development (clean, modular, production-ready code)
• Deep understanding of
• Medallion architecture (Bronze/Silver/Gold)
• Data modeling (star schema, dimensional modeling)
• Data pipeline design and optimization
• Experience working with large-scale, high-volume data environments
• Proven ability to translate ambiguous requirements into scalable data solutions
• Comfort operating in a fast-paced, build-as-you-go environment with high ownership

Nice to Have

• Experience with SAP or ERP data integration
• Exposure to Power BI or semantic modeling layers
• Familiarity with data orchestration and workflow automation
• Experience leveraging AI-assisted development tools for code generation or optimization
• Understanding of data governance, lineage, and access control frameworks

Responsibilities

• Design and build scalable data pipelines in Microsoft Fabric, leveraging Lakehouses, notebooks, and dataflows
• Implement and operationalize medallion architecture to ensure clean, reliable, and well-governed data layers
• Develop efficient, production-grade notebooks (PySpark/Python/SQL) with a focus on performance and reusability
• Lead data ingestion patterns across structured and unstructured sources (SAP, APIs, databases, files, etc.)
• Optimize pipelines for performance, cost, and reliability at scale
• Establish and enforce data engineering standards, naming conventions, and best practices
• Collaborate with analytics and business teams to ensure data is usable, trusted, and aligned to business outcomes
• Drive adoption of modern development approaches, including low-code/no-code capabilities within Fabric
• AI-assisted development (e.g., Copilot/Codex-style tools) to accelerate engineering productivity
• Support CI/CD, version control, and deployment pipelines for data assets
• Mentor junior engineers and help elevate overall engineering maturity

Location

Mumbai

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.