We are seeking a skilled Data Engineer with hands-on experience in Azure cloud technologies to join our team. The ideal candidate will play a key role in designing, building, and optimizing data pipelines, integrating various data sources, and supporting the development of scalable data architectures.
Key Responsibilities:
* Data Pipeline Development: Design, develop, and maintain ETL pipelines using Azure services, with a focus on Azure Synapse Analytics and Azure Data Factory.
* Data Movement and Transformation: Develop and optimize ETL processes leveraging Notebooks to ensure efficient data movement and transformation.
* Data Integration: Collaborate with data analysts and business intelligence teams to develop and maintain Power BI semantic models and reports.
* Data Source Integration: Integrate various data sources, including Oracle technologies, into Azure environments for seamless data access and analysis.
* Network Solutions: Contribute to the design and implementation of Azure networking solutions to support data flows and connectivity.
* Availability and Security: Ensure data pipelines are highly available, scalable, and secure by leveraging Azure best practices.
Required Skills and Qualifications:
* Azure Expertise: Proven experience as a Data Engineer or in a similar role, with expertise in Azure cloud services.
* Data Engineering: Strong hands-on experience with Azure Synapse Analytics and Azure Data Factory for data integration, transformation, and orchestration.
* ETL Processes: Proficiency in designing and managing ETL processes using Notebooks.
* Power BI: Experience with Power BI for semantic model creation and report development.
* Data Governance: Familiarity with integrating Oracle data sources within Azure environments.
Preferred Qualifications:
* Azure Additional Services: Experience with additional Azure services like Azure Data Lake, Azure SQL Database, or Azure Databricks.
* Infrastructure-as-Code: Familiarity with Infrastructure-as-Code (IaC) practices.
* Data Security: Strong knowledge of data governance and security best practices in the cloud.
* DevOps Environment: Previous experience in a DevOps environment with CI/CD pipelines.