Senior Azure Data Engineer – Microsoft Fabric | Hybrid (Tamil Nadu) | Global Exposure | Immediate Need Location: Tamil Nadu, India (Hybrid – Office + Home | Must overlap until 12 PM PST) Employment Type: Permanent Experience Level: 6–12 Years Openings: 2 Immediate hiring need — apply now. We are actively shortlisting candidates. About the Chance Our client, a fast-growing global technology organization, is expanding its data engineering capability and seeking experienced Azure Data Engineers with deep expertise in Microsoft Fabric . This is a high-impact role where you will design, build, and operationalize scalable data products supporting analytics, BI, and ML initiatives across international teams. If you thrive in building reliable, production-grade data systems and want exposure to global stakeholders, this opportunity is built for you. Key Responsibilities Build and operate reliable data products within Microsoft Fabric Integrate and unify diverse data sources using medallion architecture (Bronze, Silver, Gold layers) Develop and operationalize ingestion pipelines for:



APIs Complex payloads File-based inputs Implement reliability guardrails and data quality controls Design and maintain clean, analytics-ready Silver-layer tables Create BI-friendly data models optimized for Power BI consumption Implement CI/CD pipelines and environment promotion strategies Optimize Spark notebooks and data pipelines for performance and scalability Establish logging, monitoring dashboards, and operational runbooks Deliver feature-ready datasets for ML use cases Support storage and management of ML model outputs within Fabric Required Skills & Experience 6–12 years of experience in Data Engineering Strong hands-on expertise with Microsoft Fabric Proven experience designing medallion architecture data models Deep understanding of ingestion pipelines (APIs, files, structured & semi-structured data) Strong Spark and pipeline performance tuning experience Experience implementing

📌 Senior Azure Data Engineer – Microsoft Fabric | Hybrid(Tamil Nadu) (Chennai)
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📍 Chennai