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.

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.
  
  

Qualifications:

3+ years (mid) or 5+ years (senior) in data engineering, with proficiency in Azure, Python, PySpark.

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.
  
  

Sounds interesting? Click “Apply” and have chance to hear more!