✨ About The Role
- The role involves building and operating the full data stack at Kalshi, combining data engineering and data analysis responsibilities.
- Candidates will partner with various business units to identify opportunities for improvement and influence decisions using data science methodologies.
- The job includes driving the collection of new data and refining existing data sources and pipelines.
- Responsibilities also include building actionable KPIs and creating production-quality dashboards to convey insights.
- The role requires defining best practices within an experiment-driven culture and informing the product engineering roadmap through data analysis.
âš¡ Requirements
- The ideal candidate should have at least 3 years of experience in Data Engineering.
- Strong expertise in Python and SQL is essential, along with familiarity with data manipulation libraries like Pandas and Numpy.
- Candidates should possess excellent communication skills to articulate complex concepts to both technical and non-technical stakeholders.
- A strong analytical mindset and critical thinking skills are necessary to navigate and analyze large datasets.
- The successful individual will thrive in a fast-paced environment and be comfortable managing multiple projects simultaneously.