Azure Data Engineer Hiring in Hyderabad | Microsoft Fabric Role – TCS
Azure Data Engineer – Hyderabad | Apply Online
Posted by Jobs for All
Company Overview
The hiring organization is a global technology-driven enterprise delivering scalable cloud and data solutions for large businesses. The team focuses on building modern data platforms using Microsoft Azure services, enabling analytics, reporting, and enterprise-grade insights across domains.
Job Summary
The company is hiring an experienced Azure Data Engineer to design, build, and optimize modern data pipelines using Microsoft Fabric, Azure Data Factory, and distributed processing frameworks. This role is ideal for professionals who enjoy working on end-to-end data engineering solutions, from ingestion to analytics-ready datasets.
Before applying, candidates are encouraged to review our resume writing tips and career preparation guidance to improve shortlisting chances.
💭 Jobs for All Note: This role offers strong long-term growth for data engineers working with Microsoft Fabric and modern lakehouse architectures. Highlight real pipeline and transformation work in your resume.
Eligibility Criteria
- Bachelor’s degree in Engineering or a related technical discipline.
- Strong hands-on experience with Microsoft Fabric and Lakehouse architecture.
- Experience with Azure Data Factory pipelines and orchestration.
- Good command of SQL for data transformation and querying.
- Hands-on experience with PySpark or Scala.
- Familiarity with Microsoft Purview for metadata and lineage management.
- Experience working in CI/CD or DevOps-based delivery models.
🚫 Who This Role May Not Be Suitable For
- Candidates without hands-on Azure Data Engineering experience
- Professionals focused only on BI or reporting roles
- Applicants without Spark-based data processing exposure
Job Details
| Job Role | Azure Data Engineer |
|---|---|
| Location | Hyderabad, India |
| Job ID | 387051 |
| Employment Type | Full-Time |
| Key Skills | Microsoft Fabric, Azure Data Factory, PySpark/Scala, SQL, Purview |
Key Responsibilities
- Design and implement scalable data pipelines using Microsoft Fabric and Azure services.
- Build and maintain ETL workflows using Azure Data Factory.
- Develop transformations using PySpark or Scala.
- Ensure data quality, metadata enrichment, and lineage tracking.
- Collaborate with analytics and business teams to deliver reliable datasets.
- Support CI/CD deployments and pipeline monitoring.
Career Growth & Learning Opportunities
- Hands-on exposure to Microsoft Fabric lakehouse architecture.
- Opportunity to work on enterprise-scale data platforms.
- Skill development in cloud analytics, governance, and performance tuning.
🧩 Skills You Will Strengthen in This Role
- Microsoft Fabric lakehouse design & optimization
- Enterprise-scale Azure Data Factory orchestration
- Spark performance tuning and data transformations
- Cloud data governance and lineage tracking
Who Should Apply
This role is best suited for data engineers who enjoy building production-grade pipelines, working with cloud-native tools, and collaborating with analytics teams to enable business insights.
Resume Tips for This Role
- Mention real Azure Data Factory pipelines you have built.
- Highlight Spark-based transformations and performance optimization.
- Include examples of data governance or Purview usage if applicable.
🔍 How Jobs for All Verified This Job
This job information has been verified using the employer’s official careers portal. Jobs for All does not accept paid job postings and does not modify job requirements, selection criteria, or compensation details.
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Frequently Asked Questions (FAQs)
Is this role suitable for mid-level professionals?
Yes, candidates with hands-on Azure data engineering experience are encouraged to apply.
How can I improve my chances of selection?
Review our resume writing guide and prepare using our career resources.
Resources & References
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