Lead Fabric Data engineer
LatentView Analytics (company site, opens in a new tab)6–8 yrsChennaiOn-siteDirect career pageEst. 20–35 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and implement scalable data engineering solutions using Microsoft Fabric and OneLake for enterprise data platforms.
- Build and optimize end-to-end data pipelines, implementing Medallion Architecture (Bronze, Silver, Gold) using Fabric Lakehouse with PySpark/Spark and SQL.
- Lead technical mentoring of engineers, manage deployments (CI/CD), ensure data quality, security, and performance for analytics workloads.
Minimum Requirements
- 6–8 years of experience in Data Engineering or related roles.
- 2+ years hands-on experience with Microsoft Fabric; strong expertise in Fabric Data Factory, Lakehouse, Data Warehouse, Spark/PySpark, and SQL.
- Experience with data pipelines, Medallion Architecture, data integration (structured & semi-structured), and Azure DevOps/Git Azure integration.
- Location: Chennai, Tamil Nadu, India; Employee Type: Permanent. Notice period not explicitly mentioned.
Ideal Candidate Profile
- Experienced in delivering enterprise-grade cloud data platforms using Microsoft Fabric and Azure ecosystem.
- Skilled in technical leadership including mentoring junior engineers and leading code reviews, design discussions, and deployment processes.
- Comfortable handling complex data processing, optimization, and governance in a hybrid structured/semi-structured data environment.