We are looking for an experienced Azure Data Engineer with strong hands-on expertise in Azure Data Factory, Azure Synapse Analytics, and PySpark. The candidate will be responsible for designing, developing, and optimizing scalable data pipelines and analytics solutions on Azure.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF).
- Develop and optimize data processing solutions using PySpark.
- Design and implement data solutions using Azure Synapse Analytics.
- Build and optimize ETL/ELT workflows for large-scale data processing.
- Develop effective data transformation and integration processes.
- Optimize pipeline and query performance for scalability and reliability.
- Work with cross-functional teams to understand data requirements and deliver robust solutions.
- Troubleshoot production issues and ensure data pipelines are reliable and efficient.
- Follow Azure data engineering and development best practices.
Mandatory Skills
- 7+ years of Data Engineering experience
- Strong hands-on experience with Azure Data Factory
- Strong experience with Azure Synapse Analytics
- Advanced PySpark skills
- Strong SQL and data transformation knowledge
- Experience designing and optimizing ETL/ELT pipelines
- Good understanding of Azure data engineering architecture
Primary Skills
Azure Data Factory | Azure Synapse Analytics | PySpark
📌 Azure Data Engineer (India)
🏢 Durapid Technologies
📍 India
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