
Top Data Engineering Position
2 days ago
About the Role
We are seeking a skilled Data Engineer with expertise in designing and optimizing scalable data pipelines and lakehouse architectures.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Azure services.
- Build and optimize lakehouse architectures on Azure.
- Work closely with stakeholders to understand their requirements and provide technical leadership.
- Implement data ingestion, transformation, and orchestration workflows from diverse sources.
- Ensure data quality, consistency, and security across the data lifecycle.
- Leverage Azure services for automated provisioning and configuration.
- Optimize cloud resource usage for performance and cost-efficiency.
- Design and implement data modeling techniques to support analytical workloads.
- Collaborate with analysts and data scientists to deliver advanced analytics solutions.
- Conduct data quality assessments and contribute to data governance initiatives.
Required Technical Skills
- Expert-level experience with Azure Data Services: Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake Storage.
- 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.
- Strong understanding of data governance, security, and compliance in Azure.
Benefits and Requirements
This is a remote opportunity. If you have the required skills and are looking for a new challenge, please apply.
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