
Chief Data Engineering Officer
1 day ago
We are seeking a seasoned professional to lead the development of scalable data architectures and lakehouse solutions on Microsoft Azure.
- Design, develop, and maintain complex data pipelines using Azure Data Factory and Azure Synapse Analytics.
- Build and optimize data lakehouse architectures on Azure using Delta Lake.
- Collaborate with stakeholders to understand their technical requirements and translate them into effective data solutions.
- Implement data ingestion, transformation, and orchestration workflows from diverse sources.
- Ensure data quality, consistency, and security across the entire data lifecycle.
- Utilize Azure services such as Data Lake Storage Gen2, Event Hubs, Azure Functions, and Key Vault.
- Implement Infrastructure as Code (IaC) using Terraform or Bicep for automated provisioning and configuration.
- Optimize cloud resource usage for performance and cost-efficiency.
- Design and implement star schema and other advanced data modeling techniques to support analytical workloads.
- Collaborate with analysts and data scientists to deliver cutting-edge analytics solutions.
Required Technical Skills:
- Expert-level experience with Azure Data Services.
- Strong proficiency in SQL for complex transformations and performance tuning.
- Advanced Python skills for data pipeline development and orchestration.
- Experience with Terraform or similar IaC tools for Azure.
- Familiarity with CI/CD pipelines and DevOps practices.
Key Qualifications:
- Deep knowledge of data architecture design principles.
- Excellent collaboration and communication skills.
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