✨ About The Role
- The role involves designing and implementing data transformation and analysis pipelines for complex physical data sources.
- The candidate will be responsible for automating data capture from physical systems and assisting with data entry and quality maintenance tools.
- The position requires interfacing with Zitara's R&D teams and ensuring the observability and scalability of the technology built.
- The successful candidate will jump into specific well-defined projects immediately and help define future projects to streamline operations.
- The job entails making tactical decisions on scope and priority to continuously improve the software system.
⚡ Requirements
- The ideal candidate will have a bachelor's degree in a technical subject or equivalent proficiency.
- A minimum of 5 years of experience in industry data engineering is required, showcasing a strong background in the field.
- Proficiency in Python and SQL-based relational databases is essential for success in this role.
- The candidate should have experience with time-series databases and automating data collection and validation processes.
- Strong communication skills are necessary to effectively collaborate with cross-functional stakeholders and document system changes.