Senior Engineer - Data
Mgpru Mandgprudential4–7 yrsPuneOn-siteDirect career pageEst. 14–22 LPA
Posted 30d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operationalize data engineering solutions on Azure Cloud using services like Azure Data Factory, Databricks, and Azure Data Lake Storage.
- Lead migration of on-premise data warehouses to Azure cloud data platforms and implement modern data platform architectures including Lakehouse/Datawarehouse.
- Develop and maintain CI/CD pipelines using Azure DevOps, capacity plan and tune data pipelines, and support Power BI data visualization development.
Minimum Requirements
- 4-7 years of experience in Azure Data Engineering.
- Proficient technical skills in Azure Data Factory, Azure Data Lake Storage V2, Azure SQL, Azure Databricks, PySpark, Azure DevOps, and Power BI.
- Graduate or Post-graduate degree preferably in Computer Science, Statistics, Mathematics, Data Science, Engineering, or related discipline.
- Microsoft Azure certification is good to have but not mandatory.
Ideal Candidate Profile
- Experienced in handling end-to-end Azure data platform lifecycle including ingestion, transformation, and deployment in secured environments.
- Demonstrated ability to collaborate with business teams and offshore development teams within a structured SDLC process.
- Strong operational focus on performance tuning, capacity planning and adherence to organizational risk and controls in data engineering projects.