Unlock Data Potential
19 hours ago
We are seeking an experienced Data Engineer to design and implement scalable data pipelines using Microsoft Fabric, including Dataflows Gen2, Lakehouse, Notebooks and SQL endpoints.
- Main Responsibilities:
- Design and implement scalable data pipelines using Microsoft Fabric.
- Develop ETL/ELT solutions using PySpark, T-SQL and Spark Notebooks within Fabric and Azure Synapse.
- Manage and optimize data storage and compute in OneLake supporting Lakehouse and Warehouse use cases.
- Implement and manage Azure Key Vault for secure handling of secrets, credentials and connection strings.
- Configure and manage CI/CD pipelines for Data engineering projects using Azure Devops.
- Integrate data from diverse sources including SQL server, Azure Blob, REST API's 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.
About the Role
As a key member of our Data Engineering team, you will play a crucial role in designing and implementing data pipelines that enable real-time insights and drive business growth.
Key Skills and Qualifications
To succeed in this role, you should have hands-on experience with:
- Microsoft Fabric, including Dataflows Gen2, Lakehouse, Notebooks and SQL endpoints.
- Azure Synapse, PySpark, T-SQL, and Spark Notebooks.
- CI/CD pipelines using Azure Devops.
- Secure handling of secrets, credentials and connection strings using Azure Key Vault.
Why Join Us
At our company, we offer a dynamic and collaborative work environment that fosters innovation and growth. Our team is passionate about delivering high-quality solutions that meet the evolving needs of our clients.
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