Microsoft Cloud Data Engineer Azure fabric
5 days ago
Key Responsibilities:
- Design, develop, and maintain efficient data pipelines and ETL processes using Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric.
- Implement data integration solutions across multiple sources, ensuring data quality, consistency, and security.
- Develop and maintain scalable data storage solutions, including data lakes, data warehouses, and databases using Azure services.
- Build and optimize data models for performance, reliability, and analytics use cases.
- Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver actionable insights through advanced data visualization tools such as Power BI.
- Ensure best practices in data governance, security, and privacy are adhered to throughout the data lifecycle.
- Perform data profiling, data cleansing, and troubleshooting to ensure high-quality data is available for reporting and analytics.
- Explore and implement machine learning models and predictive analytics solutions in collaboration with data science teams.
- Stay updated with new technologies and best practices in Azure and cloud-based data engineering and analytics.
Required Skills and Qualifications:
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- Proven experience in data engineering and analytics on Azure cloud platforms.
- Expertise in Azure Data Factory, Azure Synapse, Azure SQL Database, Microsoft Fabric, and Power BI.
- Strong proficiency in SQL, data modeling, and ETL/ELT techniques.
- Experience with scripting languages such as Python or PowerShell.
- Familiarity with cloud data architecture, data governance, and security best practices.
- Strong problem-solving skills and the ability to work with large, complex datasets.
- Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders.
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