Role Overview
The Data Engineer will manage the implementation, maintenance, and operation of the institutional data ecosystem’s technological infrastructure, design and develop data integration and transformation processes, and investigate trends and new capabilities in data management and analytics methodologies and tools.
What You Will Do
The Data Engineer will be responsible for implementing pipelines (ETLs), developing data integration, loading, and transformation processes, and defining and applying development standards for ETLs according to the institutional architecture.
Why It Might Be a Fit
The ideal candidate will have a minimum of 4 years of experience in data infrastructure and platforms, Azure ecosystem for data analytics, data integration and ETL tools, and programming languages such as Python and SQL.
Requirements
- Minimum of 4 years of experience in data infrastructure and platforms
- Azure ecosystem for data analytics
- Data integration and ETL tools
- Programming languages such as Python and SQL
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