We’re looking for an experienced Data Engineer skilled in Azure and data pipeline optimization to design, build, and streamline scalable data pipelines and storage solutions that support analytics and machine learning.
✔ Key responsibilities:
- Design, deploy, and maintain data solutions on Azure (Data Factory, Databricks, SQL Database, Synapse).
- Manage data efficiently with Databricks (Delta Tables), ADLS, SQL Server, and Netezza.
- Build robust data pipelines in Azure Data Factory with a strong focus on governance and compliance.
- Utilize Python and PySpark to create efficient and scalable data transformations.
- Enable data insights through Power BI and Qlik dashboards, providing clear visualizations to stakeholders.
- Apply best practices in DevOps, including version control and CI/CD, with Git and Azure DevOps.
✔ Required skills and experience:
- Azure expertise: Minimum of 3 years (for mid-level) or 5 years (for senior) in data engineering, with proven expertise in Azure.
- Programming skills: Proficiency in Python and PySpark for data transformations.
- Agile mindset: Experience in Agile methodologies and flexible team structures.
- Version control: Practical knowledge of Git and experience with Azure DevOps.
✔ What we offer:
- Participation in dynamic and impactful projects.
- A collaborative, supportive team culture.
- A flexible work environment tailored to modern working needs.
- A comprehensive benefits package that fits your preferences.
Interested? Click "Apply" for the chance to learn more!
