Data Engineer
Description
- Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions.
- Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
- Experience with Microsoft SQL Server and relational databases.
- Ability to design, implement, and maintain ETL pipelines.
- Experience with Databricks and Spark
- Experience with productivity tools such as GitHub Copilot
- Ability to innovate, think critically, and break down problems.
- Ability to handle tasks on multiple projects and navigate competing priorities.
- Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
- Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
- Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
- Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered.
