Senior Azure Data Engineer
Nextracker (company site, opens in a new tab)8+ yrsHyderabadHybridDirect career pageEst. 22–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design and maintain scalable, secure data pipelines and integrations using Azure Data Factory, Microsoft Fabric, and Azure Synapse Analytics.
- Architect and implement Azure Data Lake and Delta Lake solutions, applying modern data architecture patterns like Medallion design.
- Collaborate with finance and business teams to support financial forecasting and analytics through data modeling and quality improvements.
Minimum Requirements
- 8+ years of data engineering experience focused on cloud-based architecture.
- Strong expertise with Microsoft Azure data services including Azure Data Lake Storage Gen2, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics.
- Hands-on experience with Microsoft Fabric, PySpark, SQL programming, and financial modeling data processes.
- Bachelor’s degree in mathematics, statistics, economics, engineering, or related business/analytical discipline.
Ideal Candidate Profile
- Experienced in delivering production-grade Azure data ecosystem solutions, particularly around large-scale financial and business analytics.
- Proficient in implementing advanced data architectures (e.g. Medallion) and integrating disparate data sources for analytics.
- Capable of bridging technical and financial domains to improve data reliability and support strategic business decisions.