Senior Azure Data Engineer – Microsoft Fabric | Hybrid (Tamil Nadu) at Core Talent Finder in Tamil Nadu, India

Job description

• 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.

Responsibilities

• Build and operate reliable data products within Microsoft Fabric
• Integrate and unify diverse data sources using medallion architecture (Bronze, Silver, Gold layers)
• 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

Requirements

• 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 CI/CD for data workflows
• Exposure to BI modeling (Power BI preferred)
• Experience supporting ML-ready datasets
• Ability to collaborate with global teams (PST overlap required)
• Notice period: Immediate to 15 days preferred

Skills

Required

• Microsoft Fabric
• Data Engineering
• Medallion architecture
• Spark
• Pipeline performance tuning
• CI/CD for data workflows
• BI modeling
• Power BI
• ML-ready datasets

Preferred

• Immediate availability

Benefits

• Highly competitive compensation: ₹15,00,000 – ₹40,00,000 (based on expertise)
• Work with global stakeholders and international data teams
• Opportunity to architect enterprise-scale Fabric environments
• Career growth into Lead / Principal Data Engineering roles
• Hybrid flexibility (office + remote)
• Exposure to advanced analytics and ML-driven data ecosystems
• Long-term stability with a growing technology organization