Data Engineer
3 days ago
Key Skills: Azure, Data modeling, Python, ETL, Data Engineering, Microsoft fabric, Azure Databricks
Roles and Responsibilities:
- Design, develop, and optimize ETL/ELT processes using SQL Server, Azure Data Factory, or equivalent tools.
- Build and maintain data pipelines supporting real-time and batch processing.
- Implement data transformations, cleansing, and quality checks to ensure integrity.
- Integrate on-premises data sources with cloud solutions (Azure/AWS).
- Manage and maintain data lakes, lakehouses, and warehouses in cloud environments.
- Ensure data availability, lineage, and performance across platforms.
- Collaborate with stakeholders to translate business requirements into technical data solutions.
- Monitor data pipeline performance, troubleshoot issues, and optimize operations.
- Optimize data storage and retrieval mechanisms for enhanced system performance.
- Maintain comprehensive documentation of data workflows, processes, and architecture.
Skills Required:
- Strong expertise in Azure cloud services and ETL/ELT processes
- Proficiency in Python and data modeling
- Experience with Azure Databricks and Microsoft Fabric (preferred)
- Knowledge of data lakes, lakehouses, and data warehouses in cloud environments
- Ability to implement data transformations, cleansing, and quality checks
- Strong understanding of data integration and pipeline optimization
- Experience with performance monitoring and troubleshooting of data pipelines
- Ability to collaborate with data architects, analysts, and BI developers
Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
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