Salary is 100k to 110k + bonus
- Develop and maintain data pipelines, data models, and reporting solutions using Python and SQL to support business and analytics needs.
- Build and automate ETL pipelines in Snowflake to prepare and transform data for ML/AI initiatives.
- Clean, validate, and analyze large datasets to ensure data quality and identify trends that support business decision-making.
- Create dashboards, reports, and lightweight data applications to provide stakeholders with actionable insights.
- Perform SQL query tuning, data pipeline debugging, and performance optimization to improve reliability and efficiency.
- Partner with business and technical teams to gather requirements, translate business needs into data solutions, and support implementation and ongoing enhancements.
- Contribute to data governance, documentation, platform improvements, and adoption of emerging data, analytics, and AI technologies.