✨ About The Role
- The role involves designing and implementing data transformation and analysis pipelines for complex physical data sources.
- The candidate will automate data capture from physical systems and assist with data entry and quality maintenance tools.
- Responsibilities include interfacing with Zitara's R&D teams and ensuring the observability and scalability of the technology built.
- The position requires jumping into specific well-defined projects immediately and helping define future projects.
- The candidate will need to understand complex data and operations problems across multiple disciplines and apply software engineering methodologies to address them.
⚡ Requirements
- A successful candidate will have a bachelor's degree in a technical subject or equivalent proficiency.
- The ideal candidate will possess at least 5 years of experience in industry data engineering.
- Proficiency in time-series databases and experience in automating data collection and storage is essential.
- Strong skills in Python, SQL-based relational databases, and AWS services are required.
- The candidate should demonstrate clear and effective written and interpersonal communication skills.
- Creative problem-solving abilities with limited resources and engineering constraints will be crucial for success.