Do you have a knack for working with large datasets and a passion for building cloud-based data solutions? We're looking for a talented Cloud Data Engineer to help us tackle our growing data needs and help drive the next wave of data innovation.
Key Responsibilities:
- Develop, deploy, and maintain cloud-based data solutions in Azure using Databricks and other Azure services.
- Build end-to-end data pipelines that support data integration, transformation, and analysis.
- Collaborate with various teams across the business to ensure the timely and efficient delivery of data solutions.
- Contribute to the continuous improvement of the data engineering process, ensuring best practices in scalability, security, and maintainability.
- Monitor data quality, performance, and ensure the reliability of all deployed solutions.
Key Technologies:
- Proficiency in Databricks and Databricks SQL for data pipeline development.
- Python, PySpark, and T-SQL for managing and transforming data.
- Azure DevOps, Azure Synapse, and Power BI for efficient development and deployment.
- Experience with SSIS and Azure Data Factory is desirable.
Desired Skills and Experience:
- 3+ years of experience working with cloud technologies, ideally Azure.
- A solid foundation in ETL processes, data warehousing, and data architecture.
- Strong communication skills, able to work with both technical teams and business stakeholders.
- Passion for innovation, continuous learning, and adapting to new technologies.
If you are excited about data engineering, cloud platforms, and want to make a direct impact through your work, apply today.
Posted by: Rachel Ruzumna
Specialization: Data Engineering