Informacje o stanowisku

What kind of experience should you have?

• Strong hands-on experience with Azure cloud services, including Spark/Databricks, and a deep understanding of cloud-based data architectures. 
• Minimum 5 years of experience as a Data Engineer 
• Proficiency in Python and SQL, with a proven track record of building and optimizing complex ETL/ELT processes in Data Lakehouse environments. 
• Experience with data mesh architecture is highly desirable, demonstrating your ability to work within decentralized data environments. 
• A passion for continuous learning, coupled with the ability to communicate complex technical concepts to non-technical stakeholders. 

,[Design and implement scalable data processing infrastructure and ETL pipelines on Azure, ensuring efficient and reliable data flow to support AI/ML models, analytics, reporting, and other data-driven applications. , Establish and enforce robust data governance practices, ensuring the security, integrity, and availability of data across the platform. , Continuously enhance your data engineering expertise, staying ahead of industry trends, and proactively sharing insights and best practices with the team to foster a culture of learning and innovation.  Requirements: ETL, Azure, AI, Security, Data engineering, Azure Cloud, Spark, Databricks, Python, SQL, Data Lake

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