
Azure Data Engineer
1 week ago
- Design, develop, and monitor data ingestion pipelines from various sources.
- Continuously improve and optimize existing data pipelines for performance and scalability.
- Model data from API outputs into a relational format.
- Develop CI/CD pipelines using GitHub Actions.
- Provide support to ensure secure access to data for necessary teams and meet data quality and governance requirements.
- Proven background with data engineering and development
- Experience with Azure Data Factory, Azure Databricks and/or Synapse Analytics, Azure Event Hubs
- Knowledge of Medallion Architecture/ Lakehouse/Data Warehouse in Fabric
- Experience in building data ingestion pipelines in Fabric
- Experience in Infrastructure-As-Code tools such as Terraform
- Experience in data architecture, data modelling, Data warehousing and SDLC
- Advanced SQL experience
- Experience with cloud storage concepts (e.g., Azure Blob Storage)
- Use Microsoft DevOps (CI/CD) to deploy new pipelines or implement changes to existing ones.
- Expertise in SQL and Python scripting
- Experienced with Docker/containerization
- Experience with visualisation tools such as Power BI
- Excellent communication skills with the ability to work effectively with a range of stakeholders
- Have a deep understanding of IaaS and PaaS services offered on the various cloud platforms and understand how to use them together to build complex solutions.
- Ability to work independently and effectively within a team environment.
- Any experience working in the Insurance domain will be highly desirable.
Robert Half
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Azure Data Engineer
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Azure Data Engineer
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