
Azure Data Engineer
1 week ago
Role & responsibilities
Roles and Responsibilities
Understanding the requirements from the refinement meetings 2. Create design documents and write stories in product backlog 3. Lead a small team to meet the sprint commitments
Required Skills
Design and develop data pipelines using Azure Data Factory, Spark SQL, Pyspark, and Python
• Implement ETL/ELT processes for structured and unstructured data sources
• Optimize queries and data models in Azure Synapse Analytics and OneLake
• Build and maintain Lakehouse and Datawarehouse architectures using Microsoft Fabric components
• Develop interactive dashboards and reports using Power BI, leveraging DirectLake mode
• Integrate Microsoft Purview for data governance and compliance
• Collaborate with DevOps teams to automate deployment of Fabric assets via Azure DevOps and CI/CD pipelines
• Ensure data security and performance tuning across large-scale datasets
Desired Skills:
Design and develop data pipelines using Azure Data Factory, Spark SQL, Pyspark, and Python
• Implement ETL/ELT processes for structured and unstructured data sources
• Optimize queries and data models in Azure Synapse Analytics and OneLake
• Build and maintain Lakehouse and Datawarehouse architectures using Microsoft Fabric components
• Develop interactive dashboards and reports using Power BI, leveraging DirectLake mode
• Integrate Microsoft Purview for data governance and compliance
• Collaborate with DevOps teams to automate deployment of Fabric assets via Azure DevOps and CI/CD pipelines
• Ensure data security and performance tuning across large-scale datasets
Soft Skills :
Strong written and verbal communication skills 2. Strong interpersonal and time management skills
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