Data Engineering Professional
8 hours ago
Overview:
- Assume responsibility for designing and implementing scalable data pipelines using Microsoft Fabric, encompassing Dataflows Gen2, Lakehouse, Notebooks, and SQL endpoints.
Key Responsibilities:
- Develop ETL/ELT solutions utilizing PySpark, T-SQL, and Spark Notebooks within Fabric and Azure Synapse.
- Manage and optimize data storage and compute in OneLake, supporting both Lakehouse and Warehouse use cases.
- Implement and manage secure handling of secrets, credentials, and connection strings via Azure Key Vault.
- Configure and manage CI/CD pipelines for data engineering projects using Azure DevOps, including automated deployment of Fabric assets.
- Integrate diverse data sources, encompassing SQL Server, Azure Blob, REST APIs, and on-prem systems.
- Collaborate closely with business teams and PowerBI developers to ensure data models support reporting and self-service needs.
- Monitor and troubleshoot data pipeline performance, data quality, and failure recovery.
- Contribute to architecture design, governance processes, and performance tuning.
About the Role:
As a Data Engineering Professional, you will play a pivotal role in helping our customers become data-driven organizations by providing comprehensive data solutions. Our team specializes in Data Strategy, Data Governance, Advanced Analytics, Business Applications, and Data Visualization.
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