Data Engineer @ Innowise

To work successfully on projects you need: 3 years of hands-on experience creating and maintaining data architectures, pipelines, and models Proven experience of working with Azure data services—e.g., Azure Synapse, Databricks, Data Factory, Azure SQL, Power BI—to deliver scalable, reliable solutions Proficiency with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for automating deployments and infrastructure changes Familiarity with Agile methodologies (Scrum/Kanban) and ability to maintain the pace of development in a fast-paced environment Ability to work effectively in a team-oriented environment and collaborate with cross-functional teams to deliver high-quality solutions Strong analytical skills and attention to detail to troubleshoot and resolve complex issues Experience working with cloud-based data platforms, such as Azure, AWS, or Google Cloud Familiarity with data visualization tools, such as Tableau, Power BI, or D3.js Knowledge of SQL and ability to write efficient queries Ability to learn new technologies quickly and adapt to changing requirements Strong problem-solving skills and ability to prioritize tasks effectively Experience working in a DevOps environment and understanding of the importance of version control systems like Git Familiarity with containerization using Docker and orchestration using Kubernetes Understanding of security best practices and compliance with industry standards Ability to work independently and as part of a team, prioritizing tasks and managing multiple projects simultaneously