As a Data Engineer, you will work closely with the concept and brand to support the organization’s learning solutions, and have experience with data engineering, Databricks, Python, cloud providers, Git-based development workflows, APIs, and CI/CD pipelines.
Requirements
- Minimum 3 years of data engineering experience
- Minimum 2 years of Databricks and Python experience
- Minimum 2 years of experience working with cloud providers, preferably Azure
- Experience with Git-based development workflows
- Familiar with APIs, preferably in Python
- Familiar with regular back-end work as an engineer
- Experience building scalable solutions using PySpark, Delta Lake, and Databricks Workflows
- Experience working with CI/CD pipelines for data platforms, infrastructure as code, and monitoring
- Experience designing and developing data access layers, APIs, and data services using access control and authentication to enable secure data sharing across teams
Benefits
- Opportunity to work with a large organization
- Chance to make a significant impact on the learning solutions
- Collaborative and dynamic work environment
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