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: 612 Years
Openings: 2
Immediate hiring need apply now. We are actively shortlisting candidates.
About the Opportunity
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
-
612 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:(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
Why This Role Stands Out
-
Strategic Microsoft Fabric implementation
-
Production-grade data architecture ownership
-
Direct impact on BI and ML outcomes
-
Fast hiring cycle
-
Limited CV submissions competitive shortlisting
Call to Action
We are actively engaging candidates and interviews are already underway.
Apply now to be considered.
Serious applicants with immediate availability will be prioritized.
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: 612 Years Openings: 2 Immediate hiring need apply now. We are actively sho...
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: 612 Years
Openings: 2
Immediate hiring need apply now. We are actively shortlisting candidates.
About the Opportunity
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
-
612 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:(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
Why This Role Stands Out
-
Strategic Microsoft Fabric implementation
-
Production-grade data architecture ownership
-
Direct impact on BI and ML outcomes
-
Fast hiring cycle
-
Limited CV submissions competitive shortlisting
Call to Action
We are actively engaging candidates and interviews are already underway.
Apply now to be considered.
Serious applicants with immediate availability will be prioritized.
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