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🔍 AI solutions for Group Health and P&C insurance industries
- BS in Computer Science or another quantitative discipline.
- 7+ years of working experience in data engineering.
- 2+ years of experience managing engineers and helping them grow.
- Fluency in SQL and experience with non-relational databases.
- Proficiency in Python, Airflow, and Databricks in a professional environment.
- Desire to learn new skills and tools, like Redshift and Tableau.
- Experience in a cloud-computing environment, specifically AWS.
- Comfort with Linux, including shell script development.
- Experience in Insurtech or AI/ML products is a bonus.
- Manage a team of data engineers in their day-to-day tasks.
- Design, build, and implement data systems that fuel ML and AI models.
- Develop tools to extract and process client data from various sources.
- Profile and validate data for accuracy.
- Work cross-functionally with data scientists to prepare data for modeling.
- Contribute to production operations, data pipelines, and workflow management.
- Build infrastructure for optimal extraction, transformation, and loading of data using SQL and AWS technologies.
Posted about 1 month ago
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