
Data Solutions Engineer
2 days ago
The ideal candidate will have a strong background in designing and implementing scalable data pipelines, along with experience in working with cloud-based platforms like Microsoft Azure Synapse.
- Design and implement scalable data pipelines using Microsoft Fabric, including Dataflows Gen2, Lakehouse, Notebooks, and SQL endpoints.
- 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, including automated deployment of Fabric assets.
- Integrate data from diverse sources, including 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:
The successful candidate will be responsible for designing, developing, and maintaining large-scale data engineering solutions that meet the business requirements. This includes building and managing data pipelines, integrating data from various sources, and ensuring high-quality data delivery.
What We Offer:
We offer a competitive salary package, opportunities for professional growth and development, and a collaborative work environment that encourages innovation and creativity.
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