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!