Azure Data Architect @ Upvanta
(práce v Polsku)

Azure Data Architect @ Upvanta

Polsko

Requirements:

• University degree in Computer Science or a related field.
• Minimum 5 years of experience in data architecture and engineering.
• Experience working with Microsoft Azure, including Azure Databricks, Azure Data Factory, Data Lake, SQL Database.
• Knowledge of data security, from network layer to user interface.
• Ability to design BI solutions, reporting, and data analysis in corporate environments.
• Experience with Agile methodologies (Scrum, Kanban).
• Proficiency in SQL and Python programming.
• Fluent in English.
• Experience in data modeling and building data warehouse architecture is a plus.

We are looking for an experienced Azure Data Architect to join our team. The role involves designing and developing data architecture in the Azure cloud. The position covers both technical aspects and collaboration with business and IT teams, supporting reporting and data analysis processes. The work can be done fully remotely or from our offices in Wrocław/Warsaw.

,[Designing and implementing solutions that integrate data from various sources in the Azure environment., Creating and maintaining data architecture, considering data quality, modeling, and security of sensitive data., Supporting the team in technical matters, platform administration, and access rights management., Providing architectural advice and preparing technical documentation in close collaboration with business analysts., Supporting the creation of Business Use Cases for reporting and analytics projects., Participating in code reviews and ensuring solution quality., Collaborating with the IT team on deployments, testing, and knowledge transfer., Working closely with business stakeholders to ensure high-quality final products., Maintaining and administering data resources in Azure (Databricks, Data Factory, Data Lake, SQL Database).] Requirements: Degree, Microsoft Azure, Azure Databricks, Azure Data Factory, SQL, Security, User Interface, BI, Data analysis, Kanban, Python, Data warehouse

Kategorie

data

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