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Data Engineer with Azure
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Seniority:
Mid, Senior
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Work model:
Remote Poland
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Language:
English (B2)
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As a Data Engineer, you’ll be responsible for designing, building, and optimizing scalable data pipelines and storage solutions using Azure tools, supporting analytics and machine learning needs.
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Key Responsibilities:
- Cloud Platform: Build and manage data solutions on Azure (Data Factory, Databricks, SQL Database, Synapse).
- Data Processing & Storage: Work with Databricks (Delta Tables), ADLS, SQL Server, and Netezza to ensure efficient data handling.
- Data Integration: Develop data pipelines with Azure Data Factory, with a focus on governance and compliance.
- Programming & Transformation: Use Python and PySpark to create high-performance data transformations.
- Data Visualization: Support data insights with Power BI and Qlik dashboards.
- DevOps & CI/CD: Implement DevOps best practices, version control, and CI/CD with Git and Azure DevOps.
- Agile Practices & Modeling: Work within Agile frameworks (Scrum, Kanban) and apply modern data modeling.
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Qualifications:
3+ years (mid) or 5+ years (senior) in data engineering, with proficiency in Azure, Python, PySpark.
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What we offer:
- Involvement in dynamic and interesting projects.
- A collaborative and supportive team culture.
- A flexible work environment.
- A comprehensive benefits package tailored to your preferences.
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Sounds interesting? Click “Apply” and have chance to hear more!