
Data Architect
2 weeks ago
Data Engineer Position
We are seeking an accomplished Data Engineer to join our organization.
The ideal candidate will have extensive experience, with a minimum of 6-9 years of experience in the field, and at least 4-5 years of relevant experience in Synapse. They should possess a deep understanding of Synapse and data engineering fundamentals.
Around 1 year of experience in Microsoft Fabric is also required, with the ability to execute at least one project in Fabric.
This role demands strong technical skills, including:
- Azure Synapse with hands-on experience and at least 4+ years of relevant experience
- Microsoft Fabric with hands-on experience and execution of at least one project using Microsoft Fabric
- Azure Data Factory (ADF)
- Azure Storage
- PySpark
- SQL
- Azure Key Vault
Responsibilities:
- 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.
- Closely collaborate 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.
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