Posted Apr 16, 2026
As an Azure Data Engineer, your primary responsibility will be to design, develop, and maintain end-to-end ETL/ELT pipelines on Microsoft Azure. You will work on building and optimizing data pipelines using Azure Data Factory (ADF), developing scalable data processing solutions with Azure Databricks, and writing efficient PySpark code for large-scale data transformations. Additionally, you will utilize Python for data processing, automation, and orchestration, as well as develop and optimize SQL queries for analytics and reporting purposes. Your role will involve ingesting data from various sources such as APIs, databases, files, and streaming sources, implementing data quality checks, logging, and monitoring, and collaborating with cross-functional teams to meet data requirements. It is essential to ensure adherence to best practices for performance, security, and cost optimization in the Azure environment. Key Responsibilities:
Qualifications Required:
Good to Have Skills:
Experience with Delta Lake
Exposure to Azure Synapse Analytics
Understanding of CI/CD pipelines in Azure
Experience with streaming data (Event Hub, Kafka, etc.)
Knowledge of data governance and security concepts As an Azure Data Engineer, your primary responsibility will be to design, develop, and maintain end-to-end ETL/ELT pipelines on Microsoft Azure. You will work on building and optimizing data pipelines using Azure Data Factory (ADF), developing scalable data processing solutions with Azure Databricks, and writing efficient PySpark code for large-scale data transformations. Additionally, you will utilize Python for data processing, automation, and orchestration, as well as develop and optimize SQL queries for analytics and reporting purposes. Your role will involve ingesting data from various sources such as APIs, databases, files, and streaming sources, implementing data quality checks, logging, and monitoring, and collaborating with cross-functional teams to meet data requirements. It is essential to ensure adherence to best practices for performance, security, and cost optimization in the Azure environment. Key Responsibilities:
Design, develop, and maintain end-to-end ETL/ELT pipelines on Azure
Build and optimize data pipelines using Azure Data Factory (ADF)
Develop scalable data processing solutions using Azure Databricks
Write efficient PySpark code for large-scale data transformations
Use Python for data processing, automation, and orchestration
Develop and optimize SQL queries for analytics and reporting use cases
Ingest data from multiple sources (APIs, databases, files, streaming sources)
Implement data quality checks, logging, and monitoring
Collaborate with cross-functional teams to understand data requirements
Ensure best practices for performance, security, and cost optimization in Azure
Qualifications Required:
Good to Have Skills:
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