- Higher educational level within IT or related
- At least 5 years of experience within data engineering
- Strong proficiency in Python programming
- Extensive experience with Azure, including Azure Data Factory and Azure Databricks, and a deep understanding of Azure architecture and services
- Experience in using Spark, including Spark SQL and understanding of how to optimize Spark performance.
- Automated unit testing and code quality inspection
- CI/CD Pipelines using Azure DevOps (or similar)
- English skills written and reading – working within international environment
For our Client, global BigPharma company we are looking for Data Engineer
,[Collaborate with cross-functional teams to design, develop and maintain data pipelines and analytics solutions., Design and build a foundational platform for a modern data lake architecture, optimizing it for scalability, flexibility, and performance., Develop automated test to ensure data accuracy and quality., You will assist with planning and maintaining the Azure architectural runway and pipeline for multiple products, ensuring their stability and efficient operation., Continuously secure improvement that can make developers on the platform work even more efficiently and act as a sparring partner on use of Azure services for the organisation., Leverage your expertise in cloud development to design and implement innovative digital solutions focused on delivering business insights and patient care in real time., Overall, our goal is to improve the clinical experience for patients, doctors and nurses world-wide, and your role will support this journey.] Requirements: Python, Azure, Azure Data Factory, Azure Databricks, Spark Tools: . Additionally: Sport Subscription, Private healthcare, International environment, Life insurance.
DevOps Azure Data Factory CI/CD Information technology (IT) Python Apache Spark Data Engineering Azure apache-spark-sql azure-databricks