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 efficient 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
Robust 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
Skills: azure data factory,azure synapse analytics,pyspark
📌 Azure Data Engineer (India)
🏢 Durapid Technologies Private
📍 India
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