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 Opportunity
Our client, a rapid-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 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
Whats in It for You
- 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