✨ About The Role
- The Senior Analytics Engineer will be responsible for developing and optimizing the dbt infrastructure.
- This role involves implementing scalable data models and ensuring consistent business logic across the organization.
- The engineer will partner with analytics, data engineering, and business stakeholders to design reliable datasets.
- The position supports the evolution of the data platform and the transition towards software-oriented architecture.
- The role includes mentoring analysts and data engineers, fostering a culture of collaboration and excellence.
âš¡ Requirements
- The ideal candidate will have over 4 years of experience as an analytics engineer, data engineer, or business intelligence engineer.
- A strong background in developing with dbt for at least 2 years is essential, preferably in a SaaS environment.
- Advanced proficiency in SQL is required to effectively manage and manipulate data.
- The candidate should possess experience with data modeling, ETL/ELT development principles, and data warehousing concepts.
- A naturally inquisitive and critical thinker who enjoys solving complex problems will thrive in this role.
- Strong communication and project management skills are necessary to collaborate with cross-functional teams.