•&nbsp;&nbsp;We are looking for a hands-on Data Engineer with application operations and maintenance expertise focused on Microsoft Azure cloud data platform.•&nbsp;&nbsp;Handle data platform monitoring, quality, and error handling end to end.•&nbsp;&nbsp;Experience in handling support tickets and reporting.•&nbsp;&nbsp;As part of the team, you will take part in some development work on a need basis (requirement analysis, design, development, test, deployment, hand over).•&nbsp;&nbsp;Design and develop data solutions completely.•&nbsp;&nbsp;Work closely with our business partners, system manager and help them to get better insights on the platform health and stability.Skills: •&nbsp;&nbsp;At least a bachelor's degree within Computer Science or comparable field and you have at least 4 years' experience in software development•&nbsp;&nbsp;Experience in handling large cloud data platform maintenance.•&nbsp;&nbsp;Ability to monitor data processing using integration and orchestration tools as Azure Data Factory and Databricks•&nbsp;&nbsp;Well familiar with Microsoft Azure Data Lake, Azure SQL database and Azure Synapse data warehouse solutions•&nbsp;&nbsp;Familiarity with Azure Monitor or Log Analytics for real-time monitoring and troubleshooting of data pipelines, ensuring optimal performance and uptime.•&nbsp;&nbsp;Experience in continuous integration and continuous deployment (CI/CD) practices using Azure DevOps, especially for automating data pipeline deployments.•&nbsp;&nbsp;Experience in data modeling and programming using spark SQL and TSQL•&nbsp;&nbsp;Develop and maintain Power BI reporting and self-service solution.•&nbsp;&nbsp;Self-motivated and self-going•&nbsp;&nbsp;English is a must and Swedish is beneficial.•&nbsp;&nbsp;Excellent problem solving and analytical skills.•&nbsp;&nbsp;Strong communication and collaboration skills•&nbsp;&nbsp;You have a hands-on mentality to solve complex issues.•&nbsp;&nbsp;You are skilled in understanding the customer demands and can support them and build sustainable solution in IT-landscape.

Data Engineer Azure (2024-09-26)

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