Job Description
Principal Data Engineer – Analytics & MLOps
Location: Hyderabad, India
Work Type: Onsite
Role Overview
We are seeking a Principal Data Engineer – Analytics & MLOps to build and evolve a cloud-native data and analytics backbone for an advanced R&D and manufacturing environment. This hands-on senior role sits at the intersection of data engineering, analytics, and machine learning operations, enabling production-grade analytics, predictive models, and digital workflows.
You will design, implement, and operate scalable, compliant analytics pipelines that support dashboards, machine learning models, and scientific workflows across the full R&D lifecycle.
Key Responsibilities
- Design, build, and maintain cloud-based analytics pipelines using Azure Data Factory, Azure Data Lake Storage, and Microsoft Fabric
- Operationalize machine learning workflows using Azure Machine Learning and modern MLOps practices
- Implement CI/CD and Dev Ops pipelines using Azure Dev Ops...
Location: Hyderabad, India
Work Type: Onsite
Role Overview
We are seeking a Principal Data Engineer – Analytics & MLOps to build and evolve a cloud-native data and analytics backbone for an advanced R&D and manufacturing environment. This hands-on senior role sits at the intersection of data engineering, analytics, and machine learning operations, enabling production-grade analytics, predictive models, and digital workflows.
You will design, implement, and operate scalable, compliant analytics pipelines that support dashboards, machine learning models, and scientific workflows across the full R&D lifecycle.
Key Responsibilities
- Design, build, and maintain cloud-based analytics pipelines using Azure Data Factory, Azure Data Lake Storage, and Microsoft Fabric
- Operationalize machine learning workflows using Azure Machine Learning and modern MLOps practices
- Implement CI/CD and Dev Ops pipelines using Azure Dev Ops...
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